free statistical eBook

Stochastic Complexity in Statistical Inquiry (Series in Computer Science)
By Jorma Rissanen


Publisher: World Scientific Pub Co Inc
Number Of Pages: 250
Publication Date: 1989-11
ISBN-10 / ASIN: 9971508591
ISBN-13 / EAN: 9789971508593
Binding: Hardcover


Summary: Rissanen's first book on measuring complexity of statistical models
Rating: 5

In building models there is always a question about what is better, a complex model with many parameters or a simple model with few parameters. If one uses all the data to fit models the ordinary measures of goodness of fit willfavor the most complex models. But sometimes these models overfit by trying to explain variation that is simply noise. In such cases these best fitting models are not good models for prediction. This has long been recognized and in regression modeling adjusted R square amd Mallows Cp statistic are used to help with the tradeoff between complexity of the model and the usrfulness of the model to predict new cases. In very general terms there are penalty functions that are used to penalize the method for using lots of parameters, Akaike's information criterion and Schwarz's Bayesian information criterion are two forms of penalized likelihood methods.
.djvu 2.45 MB

Competing Risks: A Practical Perspective (Statistics in Practice)
by Melania Pintilie

==Competing Risks==
rar'd pdf with cover + metas, 1.5 mb

Probability Theory for Statistical Methods
by Florence Nightingale David

pdf 11.66 MB

Lectures on Risk Theory
by Klaus D. Schmidt

0.75 Mb, pdf

Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence (Wiley Series in Probability and Statistics)
By Elena Kulinskaya, Stephan Morgenthaler, Robert G. Staudte


Publisher: Wiley-Interscience
Number Of Pages: 282
Publication Date: 2008-04-25
ISBN-10 / ASIN: 0470028645
ISBN-13 / EAN: 9780470028643
Binding: Paperback


Product Description:

Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence acts as a source of basic methods for scientists wanting to combine evidence from different experiments. The authors aim to promote a deeper understanding of the notion of statistical evidence.

The book is comprised of two parts – The Handbook, and The Theory. The Handbook is a guide for combining and interpreting experimental evidence to solve standard statistical problems. This section allows someone with a rudimentary knowledge in general statistics to apply the methods. The Theory provides the motivation, theory and results of simulation experiments to justify the methodology.

This is a coherent introduction to the statistical concepts required to understand the authors’ thesis that evidence in a test statistic can often be calibrated when transformed to the right scale.

Determining Sample Size: Balancing Power, Precision, and Practicality (Pocket Guides to Social Work Research Methods)
By Patrick Dattalo


Publisher: Oxford University Press, USA
Number Of Pages: 176
Publication Date: 2008-01-11
ISBN-10 / ASIN: 0195315499
ISBN-13 / EAN: 9780195315493
Binding: Paperback


Product Description:

A researcher's decision about the sample to draw in a study may have an enormous impact on the results, and it rests on numerous statistical and practical considerations that can be difficult to juggle. Computer programs help, but no single software package exists that allows researchers to
determine sample size across all statistical procedures. This pocket guide shows social work students, educators, and researchers how to prevent some of the mistakes that would result from a wrong sample size decision by describing and critiquing four main approaches to determining sample size. In
concise, example-rich chapters, Dattalo covers sample-size determination using power analysis, confidence intervals, computer-intensive strategies, and ethical or cost considerations, as well as techniques for advanced and emerging statistical strategies such as structural equation modeling,
multilevel analysis, repeated measures MANOVA and repeated measures ANOVA. He also offers strategies for mitigating pressures to increase sample size when doing so may not be feasible. Whether as an introduction to the process for students or as a refresher for experienced researchers, this
practical guide is a perfect overview of a crucial but often overlooked step in empirical social work research.

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Random Networks for Communication: From Statistical Physics to Information Systems (Cambridge Series in Statistical and Probabilistic Mathematics)
By Massimo Franceschetti, Ronald Meester


Publisher: Cambridge University Press
Number Of Pages: 216
Publication Date: 2008-01-28
ISBN-10 / ASIN: 0521854423
ISBN-13 / EAN: 9780521854429
Binding: Hardcover


Product Description:

When is a random network (almost) connected? How much information can it carry? How can you find a particular destination within the network? And how do you approach these questions - and others - when the network is random? The analysis of communication networks requires a fascinating synthesis of random graph theory, stochastic geometry and percolation theory to provide models for both structure and information flow. This book is the first comprehensive introduction for graduate students and scientists to techniques and problems in the field of spatial random networks. The selection of material is driven by applications arising in engineering, and the treatment is both readable and mathematically rigorous. Though mainly concerned with information-flow-related questions motivated by wireless data networks, the models developed are also of interest in a broader context, ranging from engineering to social networks, biology, and physics.

1955 KB rar pdf

Statistics and the Evaluation of Evidence for Forensic Scientists (Statistics in Practice)
By C. G. G. Aitken, Franco Taroni


Publisher: Wiley
Number Of Pages: 540
Publication Date: 2004-09-13
ISBN-10 / ASIN: 0470843675
ISBN-13 / EAN: 9780470843673
Binding: Hardcover


Product Description:

The first edition of Statistics and the Evaluation of Evidence for Forensic Scientists established itself as a highly regarded authority on this area. Fully revised and updated, the second edition provides significant new material on areas of current interest including:
Glass Interpretation
Fibres Interpretation
Bayes’ Nets

The title presents comprehensive coverage of the statistical evaluation of forensic evidence. It is written with the assumption of a modest mathematical background and is illustrated throughout with up-to-date examples from a forensic science background.

The clarity of exposition makes this book ideal for all forensic scientists, lawyers and other professionals in related fields interested in the quantitative assessment and evaluation of evidence.

'There can be no doubt that the appreciation of some evidence in a court of law has been greatly enhanced by the sound use of statistical ideas and one can be confident that the next decade will see further developments, during which time this book will admirably serve those who have cause to use statistics in forensic science.'

D.V. Lindley


PDF | 1,7 Mb

Principles of Statistical Inference
Cambridge University Press | 2006-08-21 | ISBN: 0521866731 | 236 pages | PDF | 2,4 MB


An appendix gives a more personal assessment of the merits of different ideas. The content ranges from the traditional to the contemporary. While specific applications are not treated, the book is strongly motivated by applications across the sciences and associated technologies. The mathematics is kept as elementary as feasible, though previous knowledge of statistics is assumed. The book will be valued by every user or student of statistics who is serious about understanding the uncertainty inherent in conclusions from statistical analyses.

Ashish Srivastava, Dennis Sylvester, David Blaauw “Codes: Statistical Analysis and Optimization for VLSI: Timing and Power"
Springer | 2005-06-21 | ISBN: 0387257381 | 279 pages | PDF | 11,3 Mb

Statistical Analysis and Optimization For VLSI: Timing and Power is a state-of-the-art book on the newly emerging field of statistical computer-aided design (CAD) tools. The very latest research in statistical timing and power analysis techniques is included, along with efforts to incorporate parametric yield as the key objective function during the design process. Included is the necessary mathematical background on techniques which find widespread use in current analysis and optimization. The emphasis is on algorithms, modeling approaches for process variability, and statistical techniques that are the cornerstone of the probabilistic CAD movement. The authors also describe recent optimization approaches to timing yield and contrast them to deterministic optimization. The work will enable new researchers in this area to come up to speed quickly, as well as provide a handy reference for those already working in CAD tool development.

Moshe Shaked, J. George Shanthikumar “Stochastic Orders"
Springer | 2006-10-17 | ISBN: 0387329153 | 475 pages | PDF | 2,7 Mb

Stochastic ordering is a fundamental guide for decision making under uncertainty. It is also an essential tool in the study of structural properties of complex stochastic systems. This reference text presents a comprehensive coverage of the various notions of stochastic orderings, their closure properties, and their applications. Some of these orderings are routinely used in many applications in economics, finance, insurance, management science, operations research, statistics, and various other fields of study. And the value of the other notions of stochastic orderings still needs to be explored further.

This book is an ideal reference for anyone interested in decision making under uncertainty and interested in the analysis of complex stochastic systems. It is suitable as a text for advanced graduate course on stochastic ordering and applications.

R. A. Bailey “Design of Comparative Experiments"
Cambridge University Press | 2008-06-30 | ISBN: 0521683572 | 348 pages | PDF | 1,3 Mb

Design of Comparative Experiments develops a coherent framework for thinking about factors that affect experiments and their relationships, including the use of Hasse diagrams. These diagrams are used to elucidate structure, calculate degrees of freedom and allocate treatment sub-spaces to appropriate strata. Good design considers units and treatments first, and then allocates treatments to units. Based on a one-term course the author has taught since 1989, the book is ideal for advanced undergraduate and beginning graduate courses. This book should be on the shelf of every practicing statistician who designs experiments.

Geoff Der, Brian S. Everitt “Basic Statistics Using SAS Enterprise Guide: A Primer"
SAS Publishing | 2007-11-21 | ISBN: 1599945738 | 244 pages | PDF | 1,5 Mb

Now it's easy to perform many of the most common statistical techniques when you use the SAS Enterprise Guide point-and-click interface to access the power of SAS. Emphasizing the practical aspects of the analysis, this example-rich guide shows you how to conduct a wide range of statistical analyses without any SAS programming required. One or more real data sets, a brief introduction of the technique, and a clear explanation of the SAS Enterprise Guide output are provided for each analysis. Exercises at the end of each chapter help you consolidate what has been learned.

Topics include:
Analysis of variance
Dealing with categorical data
Logistic regression
Regression
Significance tests
Survival analysis
And more!

This text is ideal for those who want to use SAS to analyze their data, but do not have the time to undertake the considerable amount of learning involved in the programming approach.

Mathematical Foundations of Quantum Statistics (Dover Books on Physics)
Dover Publications | 1998-01-29 | ISBN: 0486400255 | 256 pages | PDF | 6,1 Mb

Mathematicians with a basic understanding of quantum physics and physicists interested in the topic will benefit from this practical text. The treatment examines the basis of quantum statistical computational methods, the determination of the mean values of occupation numbers, the foundations of the statistics of photons and material particles, and statistical thermodynamics. 1960 edition.

Residuals and Influence in Regression (Monographs on Statistics and Applied Probability, 18)
By R. Dennis Cook, Sanford Weisberg




Publisher: Chapman & Hall/CRC
Number Of Pages: 240
Publication Date: 1983-05-15
ISBN-10 / ASIN: 041224280X
ISBN-13 / EAN: 9780412242809
Binding: Hardcover


rir.pdf 7.49 MB

Computational Pharmacokinetics (Chapman & Hall/Crc Biostatistics Series)
By Anders Kallen


Publisher: Chapman & Hall/CRC
Number Of Pages: 184
Publication Date: 2007-07-19
ISBN-10 / ASIN: 1420060651
ISBN-13 / EAN: 9781420060652
Binding: Hardcover


Product Description:

Being that pharmacokinetics (PK) is the study of how the body handles various substances, it is not surprising that PK plays an important role in the early development of new drugs. However, the clinical research community widely believes that mathematics in some way blurs the true meaning of PK. Demonstrating that quite the opposite is true, Computational Pharmacokinetics outlines the fundamental concepts and models of PK from a mathematical perspective based on clinically relevant parameters. After an introductory chapter, the book presents a noncompartmental approach to PK and discusses the numerical analysis of PK data, including a description of an absorption process through numerical deconvolution. The author then builds a simple physiological model to better understand PK volumes and compares this model to other methods. The book also introduces compartmental models, discusses their limitations, and creates a general-purpose type of model. The final chapter looks at the relationship between drug concentration and effect, known as PK/pharmacodynamics (PD) modeling. With both a solid discussion of theory and the use of practical examples, this book will enable readers to thoroughly grasp the computational factors of PK modeling.
| 187p PDF | 2.11 MB

Testing Macroeconometric Models
By Ray Fair


Publisher: Harvard University Press
Number Of Pages: 448
Publication Date: 1998-08-19
ISBN-10 / ASIN: 0674875036
ISBN-13 / EAN: 9780674875036
Binding: Hardcover


Product Description:



In this book Ray Fair expounds powerful techniques for estimating and analyzing macroeconometric models. He takes advantage of the remarkable decrease in computational costs that has occurred since the early 1980s by implementing such sophisticated techniques as stochastic simulation. Testing Macroeconometric Models also incorporates the assumption of rational expectations in the estimation, solution, and testing of the models. And it presents the latest versions of Fair's models of the economies of the United States and other countries.

After estimating and testing the U.S. model, Fair analyzes its properties, including those relevant to economic policymakers: the optimal monetary policy instrument, the effect of a government spending reduction on the government deficit, whether monetary policy is becoming less effective over time, and the sensitivity of policy effects to the assumption of rational expectations.

Ray Fair has conducted research on structural macroeconometric models for more than twenty years. With interest increasing in the area, this book will be an essential reference for macroeconomists.

Algebraic Statistics: Computational Commutative Algebra in Statistics (Monographs on Statistics and Applied Probability)
By Giovanni Pistone, Eva Riccomagno, Henry P. Wynn


Publisher: Chapman & Hall/CRC
Number Of Pages: 184
Publication Date: 2000-12-21
ISBN-10 / ASIN: 1584882042
ISBN-13 / EAN: 9781584882046
Binding: Hardcover


Product Description:

Written by pioneers in this exciting new field, Algebraic Statistics introduces the application of polynomial algebra to experimental design, discrete probability, and statistics. It begins with an introduction to Gröbner bases and a thorough description of their applications to experimental design. A special chapter covers the binary case with new application to coherent systems in reliability and two level factorial designs. The work paves the way, in the last two chapters, for the application of computer algebra to discrete probability and statistical modelling through the important concept of an algebraic statistical model. As the first book on the subject, Algebraic Statistics presents many opportunities for spin-off research and applications and should become a landmark work welcomed by both the statistical community and its relatives in mathematics and computer science.

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Stats Mean Business: A Guide to Business Statistic
By John Buglear


Publisher: Butterworth-Heinemann
Number Of Pages: 384
Publication Date: 2001-11-15
ISBN-10 / ASIN: 0750653647
ISBN-13 / EAN: 9780750653640
Binding: Paperback


Product Description:

'Stats Means Business' is an introductory textbook aimed at Business Studies students who require guidance in the area of statistics. It minimizes technical language, provides clear definition of key terms, and gives emphasis to interpretation rather than technique.

'Stats Means Business' enables readers to:

* appreciate the importance of statistical analysis in business
* understand statistical techniques
* develop judgment in the selection of appropriate statistical techniques
* interpret the results of statistical analysis

There is an overwhelming need for successful managers to be able to deal competently with numerical information and this text is developed with this in mind by providing worked examples and review questions which are rooted in viable business contexts.

Each chapter includes guidance on using Excel and Minitab to produce the analysis described and explained in the chapter. The start of every chapter identifies aims and summarizes content and each is written in an accessible style. Model solutions are provided for three problems in each chapter and further solutions are available on a web site to accompany the book.

The book is suitable for first year undergraduate courses, MBA Programmes and anyone who needs support and guidance in the area of statistics.

1335 KB rar pdf

J. S. Dagpunar “Simulation and Monte Carlo: With applications in finance and MCMC"
Wiley | 2007-03-23 | ISBN:0470854944 | PDF | 348 pages | 3,3 Mb


Simulation and Monte Carlo is aimed at students studying for degrees in Mathematics, Statistics, Financial Mathematics, Operational Research, Computer Science, and allied subjects, who wish an up-to-date account of the theory and practice of Simulation. Its distinguishing features are in-depth accounts of the theory of Simulation, including the important topic of variance reduction techniques, together with illustrative applications in Financial Mathematics, Markov chain Monte Carlo, and Discrete Event Simulation.
Each chapter contains a good selection of exercises and solutions with an accompanying appendix comprising a Maple worksheet containing simulation procedures. The worksheets can also be downloaded from the web site supporting the book. This encourages readers to adopt a hands-on approach in the effective design of simulation experiments.

Arising from a course taught at Edinburgh University over several years, the book will also appeal to practitioners working in the finance industry, statistics and operations research.

Francis E. Burstall, Dirk Ferus, Katrin Leschke, Franz Pedit, Ulrich Pinkall “Conformal Geometry of Surfaces in S4 and Quaternions"
Springer | 2002-03-05 | ISBN: 3540430083 | 86 pages | PDF | 3,4 Mb

The conformal geometry of surfaces recently developed by the authors leads to a unified understanding of algebraic curve theory and the geometry of surfaces on the basis of a quaternionic-valued function theory. The book offers an elementary introduction to the subject but takes the reader to rather advanced topics. Willmore surfaces in the foursphere, their Bäcklund and Darboux transforms are covered, and a new proof of the classification of Willmore spheres is given.

Brian S. Thomson, Judith B. Bruckner, Andrew M. Bruckner “Elementary Real Analysis"
Prentice Hall | 2000-12-15 | ISBN: 0130190756 | 677 pages | PDF | 4 Mb

Elementary Real Analysis is written in a rigorous, yet reader friendly style with motivational and historical material that emphasizes the “big picture” and makes proofs seem natural rather than mysterious. Introduces key concepts such as point set theory, uniform continuity of functions and uniform convergence of sequences of functions. Covers metric spaces. Ideal for readers interested in mathematics, particularly in advanced calculus and real analysis.