My E-Books in Statistics
No
Title
Author/s
Book Description
Publisher
1.
Alternative Methods of
Regression
David Birkes, Dr.
Yadolah Dodge
This unique book brings together most of the
available results on applications of mathematical
programming in statistics, and also develops the
necessary statistical and programming theory and
methods.
(Wiley Series in Probability and
Statistics)
Wiley-Interscience | ISBN:
0471568813 | 1993-06 | djvu (ocr)
| 240 pages | 1.82 Mb
2.
Multiple Regression:
A Primer
Paul.D.Allison
This extremely well-written, straightforward book
gives you the flexibility to cover regression more
thoroughly than do most statistics texts, without
financially taxing your students. It is written at a
level that undergraduate students can easily
comprehend.
Sage Publications | Dec, 1998 |
ISBN: 9780761985334 | Pages
221 | 25 Mb | PDF
3.
Standard Probability
and Statistics Tables
and Formulae
William H. Beyer
CRC Standard Probability and Statistics Tables
and Formulae" provides useful information
emphasizing data and key formulae important to
statisticians in all fields. Topics include
probability, probability distribution tests and
confidence intervals, ANOVA tables, the general
linear model, experiment design plans, normal,
binomial, poisson, hypergeometric, and negative
binomial distributions, t-distribution, fdistribution, and order statistics.
RC Press Inc | 1990 | ISBN:
0849306809 | 520 pages | PDF |
3,7 MB
Cover
No
4.
5
6.
Title
Probability & Statistics
for Engineers &
Scientists (8th Edition,
International)
Probability & Statistics
for Engineers &
Scientists solution (8th
Edition, International)
Applied Multiple
Regression/Correlation
Analysis for the
Behavioral Sciences
(2nd ed)
Author/s
Ronald E.
Walpole,
Raymond H.
Myers
Book Description
Publisher
With its unique balance of theory and
methodology, this classic text provides a rigorous
introduction to basic probability theory and
statistical inference, motivated by interesting,
relevant applications. Offers extensively updated
coverage, new problem sets, and chapter-ending
material to enhance the book’s relevance to
today’s engineers and scientists. Includes new
problem sets demonstrating updated applications
to engineering as well as biological, physical, and
computer science…..
Pearson; 8th edition | 2007 |
ISBN: 0132047675 | 816 pages |
PDF | 30,7 MB
This readable text is informed throughout by the
application of Multiple Regression/Correlation
(MRC) to the study of causality. MRC is seen here
as a scientific rather than a technological tool--for
understanding rather than blind "prediction." The
presentation is non-mathematical and easy to
grasp, with emphasis on concrete examples that
are worked out in detail. The stress is on
applications--not only to demonstrate the
principles, but also to provide working models and
show what kinds of applications are possible.
Publisher: Lawrence Erlbaum |
ISBN: 0898592682 | edition 1984
| PDF | 545 pages | 3,5 mb
Ronald E.
Walpole,
Raymond H.
Myers
Cover
No
7.
Title
Author/s
Book Description
Publisher
All of Nonparametric
Statistics
Larry Wasserman
The goal of this text is to provide the reader with a
single book where they can find a brief account of
many, modern topics in nonparametric inference. The
book is aimed at Master's level or Ph.D. level students
in statistics, computer science, and engineering. It is
also suitable for researchers who want to get up to
speed quickly on modern nonparametric methods.
This text covers a wide range of topics including: the
bootstrap, the nonparametric delta method,
nonparametric regression, density estimation,
orthogonal function methods, minimax estimation,
nonparametric confidence sets, and wavelets.
Springer | 2007 | ISBN:
0387251456 | 268 pages | PDF |
2,3 MB
8.
Intermediate Statistics For
Dummies
Marc
Need to know how to build and test models based on
data? Intermediate Statistics For Dummies gives you
the knowledge to estimate, investigate, correlate, and
congregate certain variables based on the information
at hand. The techniques you’ll learn in this book are the
same techniques used by professionals in medical and
scientific fields.
Picking up right where Statistics For Dummies left off,
this straightforward, easy-to-follow book guides you
beyond Central Limit Theorem and hypothesis tests
and immerses you in flavors of regression, ANOVA,
and nonparametric procedures. …….
For Dummies | 2007 | ISBN:
0470045205 | 384 pages | PDF |
6,8 MB
9.
Nonparametric Statistics
Jean D. Gibbons
Nonparametric Statistics is a short and sweet
Sage Publications | October 7,
introduction to the five most familiar
1992 | ISBN: 0803939515 | 96
nonparametric location tests and associated
pages | PDF | 1 mb
confidence intervals and multiple comparisons. . . .
Cover
No
Title
Author/s
Book Description
CRC | 2003-05-09 | ISBN:
0824740521 | 680 pages | PDF |
5MB
10 Nonparametric Statistical
Inference, Fourth Edition
11 All of Statistics: A Concise
Larry Wasserman
This book covers a much wider range of topics than a
typical introductory text on mathematical statistics. It
includes modern topics like nonparametric curve
estimation, bootstrapping and classification, topics that
are usually relegated to follow-up courses. The reader
is assumed to know calculus and a little linear algebra.
No previous knowledge of probability and statistics is
required. The text can be used at the advanced
undergraduate and graduate level.
Springer | 2004-09-17 | ISBN:
0387402721 | 442 pages | PDF |
36,2 Mb
David J. Sheskin
The third edition of this best-selling handbook is a
remarkable compendium of all the most commonly
used classical statistical procedures encountered in
practice and the literature. This edition comprises over
1200 pages presenting more than 130 tests--10 of
which are completely new to this edition. Fifteen new
examples, 23 new illustrations, and significant
additions to the background material in Chapter 1
further enhance the book's coverage, accessibility, and
value. Designed for beginners and seasoned researchers
alike, this book helps users select the appropriate
statistical analysis to use in the evaluation of data and
clearly illustrates many of the computational
procedures used for statistical tests.
Chapman & Hall/CRC | ISBN
1584884401 | 3 edition (August
27, 2003)| PDF | 73 Mb | 1193
pages
Course in Statistical
Inference
12 Handbook of Parametric
and Nonparametric
Statistical Procedures,
Third Edition
Publisher
Cover
No
Title
13 Business Statistics for
Author/s
Cynthia Fraser
Springer | 2008-12-19 | ISBN:
0387744029 | 418 pages | PDF |
20MB
Jhon A Rice
This is the first text in a generation to re-examine the
purpose of the mathematical statistics course. The
book's approach interweaves traditional topics with
data analysis and reflects the use of the computer with
close ties to the practice of statistics. The author
stresses analysis of data, examines real problems with
real data, and motivates the theory. The book's
descriptive statistics, graphical displays, and realistic
applications stand in strong contrast to traditional texts
which are set in abstract settings.
Duxbury Press | June 1, 1994 |
ISBN: 0534209343 | 672 pages |
Djvu | 6 MB
Annette J. Dobson
Generalized linear models provide a unified theoretical
and conceptual framework for many of the most
commonly used statistical methods. In the ten years
since publication of the first edition of this bestselling
text, great strides have been made in the development
of new methods and in software for generalized linear
models and other closely related models.Thoroughly
revised and updated, An Introduction to Generalized
Chapman & Hall | 2001 | ISBN:
1584881658 | Pages: 240 | PDF |
1.20 MB
Data Analysis
15 An Introduction to
Generalized Linear Models,
2nd Edition
Publisher
This text helps business students develop competitive
advantages for use in their future careers as decision
makers. Students learn to build models using logic and
experience, produce statistics using Excel 2007 with
shortcuts, and translate results into implications for
decision makers. The author emphasizes
communicating results effectively in plain English and
with compelling graphics in the form of memos and
PowerPoints.
Statistics, from basics to sophisticated models, are
illustrated with examples using real data such as
students will encounter in their roles as managers.
Competitive Advantage with
Excel 2007: Basics, Model
Building and Cases
14 Mathematical Statistics and
Book Description
Linear Models, Second Edition continues to
initiate intermediate students of statistics, and the
many other disciplines that use statistics…….
Cover
No
Title
16
Statistics for Business and
Economics: Readings and
Cases
17
Statistics for the
Behavioural Sciences: An
Introduction
18
Elementary Statistics
Update (9th Edition)
Author/s
Book Description
Publisher
The purpose of this book is to provide
supplementary readings for elementary courses in
business and economic statistics. The book
illustrates the use of the techniques that are
presented in these courses, introduces students to
some well-known articles based on the utilization
of these techniques, and permits them to read some
of the classic statements regarding controversial
issues at the foundations of statistics.
Publisher: W W Norton & Co Inc
| ISBN: 0393950662 | edition
1980 | PDF | 370 pages | 3,8 mb
Riccardo Russo An Introduction begins with an introduction to the
basic concepts, before providing a detailed
explanation of basic statistical tests and concepts
such as descriptive statistics, probability, the
binomial distribution, continuous random
variables, the normal distribution, the Chi-Square
distribution, the analysis of categorical data, ttests, correlation and regression.
Mario F. Triola
Elementary Statistics has been written for the
introductory statistics course and students
majoring in any field. Although the use of algebra
is minimal, students should have completed at
least an elementary algebra course. In many cases,
underlying theory is included, but this book does
not stress the mathematical rigor more suitable for
mathematics majors.
Psychology Press | ISBN:
1841693200 | 2003-08-05 | PDF |
320 pages | 8 Mb
Addison Wesley | 2004-06-07 |
ISBN: 0321288394 | 872 pages |
PDF | 26,6 MB
Cover
No
Title
Author/s
Book Description
19
Mathematical Statistics
S. S Wilks
Most of the mathematical theory of statistics In Its
present state has been developed during the past twenty
years. Because of the variety of scientific fields In
which statistical problems have arisen, the original
contributions to this branch of applied mathematics are
widely scattered In scientific literature. Most of the
theory still exists only In original form. In writing up
the notes an attempt has been made to be as brief and
concise as possible and to keep to the mathematics with
a minimum of excursions into applied mathematical
statistics problems. An important topic which has been
omitted is that of characteristic functions of random
variables, which, when used in Fourier Inversions,
provide a direct and powerful method of determining
certain sampling distributions and other random
variable distribu tions. .
Statistics can be an intimidating subject for many
students and clinicians. This concise text introduces
basic concepts that underpin medical statistics and,
using everyday clinical examples, highlights the
importance of statistical principles to understanding
and implementing research findings in routine clinical
care. It is a tool for students, clinicians in training,
nurses, GPs and hospital consultants
20 Basic Skills in Statistics: A
Marc
Guide for Healthcare
Professionals
21
Handbook of Applied
Economic Statistics
Ullah Aman&
David E.A.Giles
Publisher
Buck Press 2008 | ISBN-10:
1443725250 | 300 Pages | PDF |
12,7 MB
Chapman | 2002 | ISBN: 0000 |
336 pages | PDF | 1,3 MB
Highlighting the interface between applied
CRC Press Inc | 1998 | ISBN:
economics and statistics, this one-of-a-kind
1420001086 | 640 pages | PDF |
resource examines important theoretical issues as
12,5 MB
well as practical developments in statistical
inference related to economic models and analysis.
Emphasizing the most recent research in the field,
the Handbook of Applied Economic Statistics
reviews the use of economic statistics to make…
Cover
No
Title
22 Applied Multivariate
Research "Design and
Intepretation
23 Multivariate and Mixture
Distribution Rasch Models:
Extensions and Applications
24
User Friendly Guide to
Multivariate Calibration and
Classification
Author/s
Book Description
Publisher
Lawerence
Meyers,
Glenn Gamst,
A.J.Guarino
This book provides full coverage of the wide range of
multivariate topics in a conceptual rather than
mathematical approach. The authors gear the text
toward the needs, level of sophistication, and interest in
multivariate methodology of students in these applied
programs who need to focus on design and
interpretation rather than the intricacies of specific
computations.
Coverage of the most widely used multivariate designs:
multiple regression, exploratory factor analysis,
MANOVA, and structural equation modeling.
Sage Publications | September 8,
2005 | ISBN: 1412904129 | Pages
680 | PDF | 50 Mb
Matthias von
Davier, Claus
H.Carstensen
This volume covers extensions of the Rasch model, one
of the most researched and applied models in
educational research and social science. This collection
contains 22 chapters by some of the most recognized
international experts in the field. They cover topics
ranging from general model extensions to applications
in fields as diverse as cognition, personality,
organizational and sports psychology, and health
sciences and education.
Publisher:Springer | 2006-12-15 |
ISBN 0387329161 | Pages: 402 |
PDF | 2.2 MB
Tormod Naes,
Tomas
Isaksson,Tom
Fearn,Tony Davies
The field of chemometrics in general and multivariate
NIR Publications (June 30, 2002)
calibration and classification in particular is now an
| ISBN:0952866625 | 352 pages |
essential tool for many analytical techniques. This book CHM | 9,2 Mb
provides a readable text, for non-mathematicians, as a
introduction to these areas for people with little or
moderate knowledge of chemometrics. The book has
been designed in an atractive and easily read format,
with many diagrams and the use of margin notes to
highlight important features.
Cover
No
25
Title
Author/s
SPSS 15.0 Brief Guide
26 Quantative Data Analysis
using SPSS with Release
12.0: A guide for social
scientists
27 SPSS For Social Scientists
Book Description
Publisher
SPSS 15.0 Brief Guide provides a set of tutorials
Prentice Hall | ISBN:
to acquaint you with the components of the SPSS
0132411520 | 256 pages | 2006system. Topics include using the help system and
09-20 | PDF | 2.48 Mb
Data Editor, reading data, examining summary
statistics for individual variables, working with
output, creating and editing charts, working with
syntax, modifying data values, sorting and
selecting data, and performing additional statistical
procedures.
Alan Bryman,
Duncan Cramer
Robert L.
Miller,Ciaran
Acton,Deirdre A.
Fullerton,John
Maltby
Quantitative Data Analysis with SPSS Release
12.0 provides both a non-technical introduction to
quantitative data analysis and a user-friendly
approach to SPSS. Thoroughly updated for SPSS
Release 12.0, the new edition will also be
applicable to those using SPSS Release 11.5 and
below. As with previous editions, the authors
concentrate on the key issues facing the newcomer
to research, such as how to decide which statistical
procedure is suitable, and how to interpret the
subsequent results
This student-friendly text offers a step-by-step
introduction to the use of SPSS--easily the most
widely used data analysis computer package in the
social sciences. Supported by four datasets taken
from the well-known British Social Attitudes
Survey on the topics crime, health, politics and
poverty, it offers an eminently practical approach
to its subject, while still setting its explanation of
statistical procedures within the wider social
research context.
Psychology Press | | 1 edition
(February 11, 2005) | ISBN:
0415340802 | Pages 394 | PDf |
13.3 Mb
Palgrave Macmillan | October 11,
2002 | ISBN: 0333922867 | Pages
353 | PDF | 17.8 Mb
Cover
No
28
Title
Author/s
Book Description
Applied Statistical Genetics
with R: For Populationbased Association Studies
(Use R)
Andrea S. Foulkes
The vast array of molecular level information now
available presents exciting opportunities to
characterize the genetic underpinnings of complex
diseases while discovering novel biological
pathways to disease progression. In this
introductory graduate level text,
29
Applied Statistics Using
SPSS, STATISTICA,
MATLAB and R
30
Mathematical Statistics
J.P Marques de Sa This practical reference provides a comprehensive
introduction and tutorial on the main statistical
analysis topics, demonstrating their solution with
the most common software package. Intended for
anyone needing to apply statistical analysis to a
large variety of science and enigineering problems,
the book explains and shows how to use SPSS,
MATLAB, STATISTICA and R for analysis such
as data description, statistical inference,
classification and regression, factor analysis,
survival data and directional statistics.
This graduate textbook covers topics in statistical
JSerge Lang
theory essential for graduate students preparing for
work on a Ph.D. degree in statistics. The first
chapter provides a quick overview of concepts and
results in measure-theoretic probability theory that
are usefulin statistics. The second chapter
introduces some fundamental concepts in
statistical decision theory and inference.
Publisher
Springer | 2009-04-17 | ISBN:
0387895531 | 272 pages | PDF |
2,1 MB
Springer| 2007-07-20| ISBN:
3540719717 | 506 Pages | 6.23
MB | PDF
Springer | 2007-10-05 |
ISBN:0387953825 | 520 pages |
PDF | 4,3 Mb
Cover
No
Title
31 Mathematical Statistics:
Author/s
Jun Shao
Exercises and Solutions
32 How to Analyze Reliability
Wayne Nelson
Data(The ASQC basic
references in quality
control. Statistical
techniques)
33 Probability and Statistics
John Tabak
Book Description
This book consists of solutions to four hundred
exercises, over 95% of which are in the author’s
Mathematical Statistics. That textbook covers
topics in statistical theory essential for graduate
students preparing for work on a Ph.D. degree in
statistics. On the other hand, this is a stand-alone
book, since exercises and solutions are
comprehensible independently of their source.
Many solutions involve standard exercises that
appear in other textbooks listed in the references.
This volume presents modern methods for
extracting information from life tests and field
data. These methods can be successfully used on a
great variety of products by many who have just a
working knowledge of basic statistics.
Probability and Statistics provides a detailed look
at the many aspects of this branch of mathematical
investigation. Covering everything from ancient
games of chance played around the world and the
theories of Fermat and Pascal to the specious use
of statistics, phrenology, and statistical methods to
stop epidemics, this book offers a comprehensive
look at the historical development and uses of
probability and statistics.
Publisher
Springer | 2005 | ISBN:
0387249702 | 360 pages | PDF |
2,2 MB
Amer Society for Quality | Pages:
54 | 1983-11 | ISBN: 0873890183
| PDF | 3.3 MB
Facts on File | 2004 | ISBN:
0816049564 | 226 pages | PDF |
1,3 MB
Cover
No
Title
Elementary
Probability
Theory:
34
With Stochastic Processes and an
Introduction to Mathematical
Finance.
35
Analysis of Variance for
Random Models, Volume 2:
36
Springer Handbook of
Engineering Statistics
Author/s
Book Description
Publication
K. L. Chung, Farid
AitSahlia
This is an introductory textbook on
probability theory and its applications. Basic
concepts such as probability measure,
random variable, distribution, and
expectation are fully treated without
technical complications. Both the discrete
and continuous cases are covered, the
elements of calculus being used in the latter
case.
Springer | 2006 | ASIN:
B000UK03CK | 402 pages
| PDF | 4,7 MB
Hardeo Sahai, Mario
M. Ojeda
Analysis of variance (ANOVA) models have
become widely used tools and play a
fundamental role in much of the application
of statistics today. In particular, ANOVA
models involving random effects have found
widespread application to experimental
design in a variety of fields requiring
measurements of variance, including
agriculture, biology, animal breeding,
applied genetics, econometrics, quality
control, medicine, engineering, and social
sciences.
Engineers and practitioners contribute to
society through their ability to apply basic
scientific principles to real problems in an
effective and efficient manner. They must
collect data to test their products every day
as part of the design and testing process and
also after the product or process has been
rolled out to monitor its effectiveness.
Birkhäuser Boston | 2004 |
ISBN: 0817632298 |
Pages: 505 | PDF | 5.71
MB
H. Pham
Springer | 2006 | ISBN:
1852338067 | 1120 pages |
PDF | 18,1 MB
Cover
No
Title
37 A Handbook of Statistical
Analyses Using SPSS
Author/s
Sabine Landau
dan Brian S.
Exeritt
38
Mathematical Methods of
Statistics (repost)
Harald Cramer
39
Principles of Medical Statistics
Alvan R. Feinstein
Book Description
Publisher
SPSS. Powerful, user-friendly, and useful,
particularly in psychology, sociology,
psychiatry, and other social sciences. But to
fully exploit its capabilities and effectively
execute its wide range of procedures, users
need detailed, to-the-point guidance that
other resources lack. A Handbook of
Statistical Analyses Using SPSS clearly and
concisely describes how to conduct
univariate and multivariate statistical
analyses using the latest release of SPSS,
version 11.
In this classic of statistical mathematical
theory, Harald Cramér joins the two major
lines of development in the field: while
British and American statisticians were
developing the science of statistical
inference, French and Russian probabilitists
transformed the classical calculus of
probability into a rigorous and pure
mathematical theory.
Chapman & Hall/CRC |
2003-11-24 | ISBN
1584883693 | Pages: 368 |
PDF | 3.4 MB
The book is arranged in a logical sequence that
advances from simple to more elaborate results.
The text describes all the conventional statistical
procedures, and offers reasonably rigorous
accounts of many of their mathematical
justifications. Although the conventional
mathematical principles are given a respectful
account, the book provides a distinctly clinical
orientation with examples and teaching exercises
drawn from real world medical phenomena.
Chapman & Hall/CRC |
2001 | ISBN: 1584882166 |
712 pages | PDF | 11,4 MB
Princeton University Press
| 1999 | ISBN: 0691005478
| 575 pages
Cover
No
Title
Author/s
Book Description
Publisher
40
Theory of Multivariate Statistics
Martin Bilodeau,
David Brenner
Springer | 1999 | ISBN:
0387987398 | 288 pages |
PDF | 1,5 MB
41
Business Statistics: A Multimedia
Guide to Concepts and
Applications
Moya McCloskey,
Chris Robertson
Our object in writing this book is to present the
main results of the modern theory of multivariate
statistics to an audience of advanced students
who would appreciate a concise and
mathematically rigorous treatment of that
material.. It is intended for use as a textbook by
students taking a first graduate course in the
subject, as well as for the general reference of
interested research workers who will find, in a
readable form, developments from recently
published work on certain broad topics not…….
This book and CD pack is the first mutimedia
type product aimed at teaching basic statistics to
business students. The CD provides computer
based tutorials and customizable practical
material. The book acts as a study guide,
allowing the student to check previous learning.
The software is Windows-based and generates
tips and responses in response to the student's
input.
42
Nonlinear Statistical Models
A. Ronald Gallant
A comprehensive text and reference bringing
together advances in the theory of probability
and statistics and relating them to applications.
The three major categories of statistical models
that relate dependent variables to explanatory
variables are covered: univariate regression
models, multivariate regression models, and
simultaneous equations models. Methods are
illustrated with worked examples, complete with
figures that display code and output.
Wiley | 1987-01 | ISBN:
0471802603 | 624 pages |
PDF | 17.5 MB
(Wiley Series in
Probability and
Statistics)"
Wiley | ISBN: 0340719273
| 2009 | 512 pages | PDF |
19,3 MB
Cover
No
43
44
45
Title
Author/s
Book Description
Publisher
Multivariate Density Estimation:
Theory
David W. Scott
Written to convey an intuitive feel for both
theory and practice, its main objective is to
illustrate what a powerful tool density estimation
can be when used not only with univariate and
bivariate data but also in the higher dimensions
of trivariate and quadrivariate information.
Visualization (Wiley
Series in Probability and
Statistics)" WileyInterscience | 1992-08 |
ISBN: 0471547700 | 376
pages | PDF | 16.9 MB
Applied Multivariate Analysis
Neil.H.Timm
This textbook provides a broad overview of
the basic theory and methods of applied
multivariate analysis. The presentation
integrates both theory and practice including
both the analysis of formal linear
multivariate models and exploratory data
analysis techniques. Each chapter contains
the development of basic theoretical results
with numerous applications illustrated using
examples from the social and behavioral
sciences, and other disciplines
A classical mathematical treatment of the
techniques, distributions, and inferences
based on the multivariate normal
distribution. Introduces noncentral
distribution theory, decision theoretic
estimation of the parameters of a
multivariate normal distribution, and the uses
of spherical and elliptical distributions in
multivariate analysis.
Springer | June 19, 2002 |
ISBN: 0387953488 | Pages
718 | PDF | 6 Mb
Aspects of Multivariate
Statistical Theory
Robb J. Muirhead
Wiley-Interscience; 2 ed |
2005 | ISBN: 0471769851 |
712 pages | PDF | 19,8 MB
Cover
No
Title
46 Observed Confidence Levels:
Author/s
Book Description
Alan M. Polansky
Illustrating a simple, novel method for
solving an array of statistical problems,
Observed Confidence Levels: Theory and
Application describes the basic development
of observed confidence levels, a
methodology that can be applied to a variety
of common multiple testing problems in
statistical inference.
Chapman & Hall/CRC |
2007-10-26 | ISBN:
1584888024 | 288 pages |
PDF | 1,7 Mb
Ramu Ramanathan
Statistical Methods in Econometrics is
appropriate for beginning graduate courses
in mathematical statistics and econometrics
in which the foundations of probability and
statistical theory are developed for
application to econometric methodology.
The book assumes a working knowledge of
advanced calculus (including integral
calculus) basic probability and statistics, and
linear algebra.
Academic Press | ISBN:
0125768303 | 1993-01-07 |
PDF | 405 pages | 9 Mb
The Bayesian revolution in statistics—where
statistics is integrated with decision making
in areas such as management, public policy,
engineering, and clinical medicine—is here
to stay. Introduction to Statistical Decision
Theory states the case and in a selfcontained, comprehensive way shows how
the approach is operational and relevant for
real-world decision making under
uncertainty.
The MIT Press | 1995-0327 | ISBN: 0262161443 |
895 pages | Html | 8 MB
Theory and Application
47
Statistical Methods in
Econometrics
48
Introduction to Statistical
Decision Theory
John W. Pratt,
Howard Raiffa,
Robert Schlaifer
Publisher
Cover
No
Title
49 Smoothing Methods in Statistics
50
A Course in Large Sample
Theory: Texts in Statistical
Science
51
Multivariate Statistics: A
Vector Space Approach
Author/s
Book Description
Jeffrey S. Simonoff
This book surveys the uses of smoothing
methods in statistics. The coverage has an
applied focus, and is very broad, including
simple and complex univariate and
multivariate density estimation,
nonparametric regression estimation,
categorical data smoothing, and applications
of smoothing to other areas of statistics. The
book will be of particular interest to data
analysts, as arguments generally proceed
from actual data rather than statistical theory.
Presented in four parts, this book provides a
complete picture of genome statistics. The
first treats basic probabilistic notions, the
second features the basic statistical tools for
expanding the theory, the third contains
special topics as applications of the general
theory, and the fourth covers more standard
statistical topics. Nearly all topics are
covered in their multivariate setting.
Springer | 1998-05-28 |
ISBN: 0387947167 | 338
pages | Djvu | 2,2 MB
The purpose of this book is to present a
version of multivariate statistical theory in
which vector space and invariance methods
replace, to a large extent, more traditional
multivariate methods. The book is a text.
Over the past ten years, various versions
have been used for graduate multivariate
courses at the University of Chicago, the
University of Copenhagen, and the
University of Minnesota.
Inst of Mathematical
Statistic | 2007-12-31 |
ISBN: 0940600692 | 512
pages | PDF | 29,1 MB
Thomas S.Fergusor
Morris L. Eaton
Publisher
Chapman & Hall/CRC |
Pages: 256 | 1996-07-01 |
ISBN: 0412043718 | DJVU
| 3 MB
Cover
No
Title
Author/s
52
Time Series: Theory and
Methods
Peter J. Brockwell,
Richard A. Davis
53
Multiparametric Statistics
Vadim Ivanovich
Serdobolskii
54
Multivariate Statistical
Inference and Applications,
Volume 2, Methods of
Multivariate Analysis
Alvin C. Rencher
Book Description
Publisher
Time Series: Theory and Methods is a
Springer | 1998-09-18 |
systematic account of linear time series
ISBN: 0387974296 | 577
models and their application to the modelling pages | PDF | 15,3 Mb
and prediction of data collected sequentially
in time. The aim is to provide specific
techniques for handling data and at the same
time to provide a thorough understanding of
the mathematical basis for techniques
This monograph presents mathematical
theory of statistical models described by the
essentially large number of unknown
parameters, comparable with sample size but
can also be much larger. In this meaning, the
proposed theory can be called "essentially
multiparametric". It is developed on the basis
of the Kolmogorov asymptotic approach in
which sample size increases along with the
number of unknown parameters.
This theory opens a way for solution of
central problems of multivariate statistics,
which up until now have not been solved.
Multivariate Statistical Inference and
Applications is a user-friendly introduction
to basic multivariate analysis theory and
practice for statistics majors as well as
nonmajors with little or no background in
theoretical statistics.
Elsevier Science | 2007-1017 | ISBN: 0444530495 |
334 pages | PDF | 1,7 Mb
Wiley-Interscience;
Har/Dsk edition
(December 15, 1997) |
ISBN:0471571512 | 592
pages | Djvu | 3,9 Mb
Cover
No
Title
Author/s
Book Description
Publisher
55
Handbook of Computational
Statistics
James E. Gentle,
Wolfgang Härdle,
Yuichi Mori , J.E.
Gentle, Wolfgang
HSrdle
The Handbook of Computational Statistics Concepts and Methods ist divided into 4
parts. It begins with an overview of the field
of Computational Statistics, how it emerged
as a seperate discipline, how it developed
along the development of hard- and
software, including a discussion of current
active research. The second part presents
several topics in the supporting field of
statistical computing.
Springer; 1 edition (August
26, 2004) | ISBN-10:
3540404643 | 900 Pages |
PDF | 39,6 MB
56
Statistics and Econometric
Models: Volume 1, General
Concepts, Estimation,
Prediction and Algorithms
Christian G. and
Alain Monfort
This two-volume work aims to present as
completely as possible the methods of
statistical inference with special reference to
their economic applications. It is a wellintegrated textbook presenting a wide
diversity of models in a coherent and unified
framework.
| Cambridge University
Press (October 27, 1995) |
ISBN: 0521477441 | PDF |
28 Mb.522 pages
57
Statistics and Econometric
Models, Volume 2 (Themes in
Modern Econometrics)
Christian G. and
Alain Monfort
This is the second volume in a major twovolume set of advanced texts in
econometrics. It is a work of synthesis that
covers both the basic and more sophisticated
models. The books are distinctive for their
attention to intuitive reasoning and the
presentation of many real-world economic
examples.
542 pages | Cambridge
University Press (January
26, 1996) | ISBN:
052147745X | PDF | 30 Mb
Cover
No
Title
58
Introductory Econometrics: A
Modern Approach
59
Design and Analysis of
Simulation Experiments
(International Series in
Operations Research &
Management Science)
60
Statistics in Drug Research:
Methodologies and Recent
Developments
Author/s
Book Description
Publisher
Jeffrey M.
Wooldridge
"The most important strength of this text is
its close connection (in terms of both
style/structure and content) to the way
empirical research is actually conducted. In
particular, the emphasis on whether or not an
estimated relationship can be considered
causal is central to econometric practice
today, and this book, unlike many others,
makes that clear.
Thomson Learning; 2 ed |
2004 | ISBN: 7302091641 |
805 pages | PDF | 3,6 MB
Design and Analysis of Simulation
Springer | ISBN:
Experiments (DASE) focuses on statistical
0387718125 | edition 2007
methods for discrete-event simulation (such
| PDF | 226 pages | 1,65 mb
as queuing and inventory simulations). In
addition, the book discusses DASE for
deterministic simulation (such as engineering
and physics simulations).
Shein-Chung
Chow, Jun Shao
We can recommend this book as a reference
which can help different groups to
understand current methodologies and
applications of statistics in drug industry. It
provides a nice and clearly structured
overview on each topic and may lower
potential barriers for further studying each
area.
CRC | 2002 | ISBN:
082470763X | 384 pages |
PDF | 13,9 MB
Cover
No
Title
Author/s
61
Monte Carlo Simulation and
Finance
Don L.McLeish
62
Introduction to Scientific
Programming and Simulation
Using R
63
Mathworks Matlab 2009a for
Windows
Owen Jones,
Robert Maillardet,
Andrew Robinson
Book Description
Publisher
Monte Carlo methods have been used for
Wiley | April 1, 2005 |
decades in physics, engineering, statistics,
ISBN: 0471677787 | 387
and other fields. Monte Carlo Simulation and pages | PDF | 5 MB
Finance explains the nuts and bolts of this
essential technique used to value derivatives
and other securities.
An introductory text, this book surveys a
range of useful mathematical tools that either
require or are illuminated by scientific
computation. The focus is on the use of R, an
open-source programming environment.
Chapman & Hall/CRC |
English | 2009-03-11 |
ISBN: 1420068725 | 472
pages | PDF | 5 MB
MATLAB is a high-performance language
for technical computing. It integrates
computation, visualization, and
programming in an easy-to-use environment
where problems and solutions are expressed
in familiar mathematical notation
Win App | RS.COM | 83
parts | 3,941 Mb
Cover