Annotated Readings In The History Of Statistics

Author : H.A. David,A.W.F. Edwards
Publisher : Springer Science & Business Media
Page : 252 pages
File Size : 40,7 Mb
Release : 2013-06-29
Category : Mathematics
ISBN : 9781475735000

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Annotated Readings in the History of Statistics by H.A. David,A.W.F. Edwards Pdf

This book provides a selection of pioneering papers or extracts ranging from Pascal (1654) to R.A. Fisher (1930). The editors'annotations put the articles in perspective for the modern reader. A special feature of the book is the large number of translations, nearly all made by the authors. There are several reasons for studying the history of statistics: intrinsic interest in how the field of statistics developed, learning from often brilliant ideas and not reinventing the wheel, and livening up general courses in statistics by reference to important contributors.

Author : H. A. David,A. W. F. Edwards
Publisher : Unknown
Page : 272 pages
File Size : 41,7 Mb
Release : 2014-01-15
Category : Electronic
ISBN : 1475735014

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Annotated Readings in the History of Statistics by H. A. David,A. W. F. Edwards Pdf

Author : James O. Berger
Publisher : Springer Science & Business Media
Page : 633 pages
File Size : 53,8 Mb
Release : 2013-03-14
Category : Mathematics
ISBN : 9781475742862

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Statistical Decision Theory and Bayesian Analysis by James O. Berger Pdf

In this new edition the author has added substantial material on Bayesian analysis, including lengthy new sections on such important topics as empirical and hierarchical Bayes analysis, Bayesian calculation, Bayesian communication, and group decision making. With these changes, the book can be used as a self-contained introduction to Bayesian analysis. In addition, much of the decision-theoretic portion of the text was updated, including new sections covering such modern topics as minimax multivariate (Stein) estimation.

Author : Samaradasa Weerahandi
Publisher : Springer Science & Business Media
Page : 343 pages
File Size : 49,6 Mb
Release : 2013-12-01
Category : Mathematics
ISBN : 9781461208259

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Exact Statistical Methods for Data Analysis by Samaradasa Weerahandi Pdf

Now available in paperback, this book covers some recent developments in statistical inference. It provides methods applicable in problems involving nuisance parameters such as those encountered in comparing two exponential distributions or in ANOVA without the assumption of equal error variances. The generalized procedures are shown to be more powerful in detecting significant experimental results and in avoiding misleading conclusions.

Author : Nhu D. Le,James V. Zidek
Publisher : Springer Science & Business Media
Page : 338 pages
File Size : 49,6 Mb
Release : 2006-09-13
Category : Science
ISBN : 9780387354293

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Statistical Analysis of Environmental Space-Time Processes by Nhu D. Le,James V. Zidek Pdf

This book provides a broad introduction to the subject of environmental space-time processes, addressing the role of uncertainty. It covers a spectrum of technical matters from measurement to environmental epidemiology to risk assessment. It showcases non-stationary vector-valued processes, while treating stationarity as a special case. In particular, with members of their research group the authors developed within a hierarchical Bayesian framework, the new statistical approaches presented in the book for analyzing, modeling, and monitoring environmental spatio-temporal processes. Furthermore they indicate new directions for development.

Author : James Ramsay,B. W. Silverman
Publisher : Springer Science & Business Media
Page : 317 pages
File Size : 50,6 Mb
Release : 2013-11-11
Category : Mathematics
ISBN : 9781475771077

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Functional Data Analysis by James Ramsay,B. W. Silverman Pdf

Included here are expressions in the functional domain of such classics as linear regression, principal components analysis, linear modelling, and canonical correlation analysis, as well as specifically functional techniques such as curve registration and principal differential analysis. Data arising in real applications are used throughout for both motivation and illustration, showing how functional approaches allow us to see new things, especially by exploiting the smoothness of the processes generating the data. The data sets exemplify the wide scope of functional data analysis; they are drawn from growth analysis, meteorology, biomechanics, equine science, economics, and medicine. The book presents novel statistical technology while keeping the mathematical level widely accessible. It is designed to appeal to students, applied data analysts, and to experienced researchers; and as such is of value both within statistics and across a broad spectrum of other fields. Much of the material appears here for the first time.

Author : Frédéric Ferraty,Philippe Vieu
Publisher : Springer Science & Business Media
Page : 260 pages
File Size : 51,5 Mb
Release : 2006-11-22
Category : Mathematics
ISBN : 9780387366203

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Nonparametric Functional Data Analysis by Frédéric Ferraty,Philippe Vieu Pdf

Modern apparatuses allow us to collect samples of functional data, mainly curves but also images. On the other hand, nonparametric statistics produces useful tools for standard data exploration. This book links these two fields of modern statistics by explaining how functional data can be studied through parameter-free statistical ideas. At the same time it shows how functional data can be studied through parameter-free statistical ideas, and offers an original presentation of new nonparametric statistical methods for functional data analysis.

Author : Arjuna Tuzzi
Publisher : Springer
Page : 217 pages
File Size : 54,7 Mb
Release : 2018-10-30
Category : Social Science
ISBN : 9783319970646

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Tracing the Life Cycle of Ideas in the Humanities and Social Sciences by Arjuna Tuzzi Pdf

This book demonstrates how quantitative methods for text analysis can successfully combine with qualitative methods in the study of different disciplines of the Humanities and Social Sciences (HSS). The book focuses on learning about the evolution of ideas of HSS disciplines through a distant reading of the contents conveyed by scientific literature, in order to retrieve the most relevant topics being debated over time. Quantitative methods, statistical techniques and software packages are used to identify and study the main subject matters of a discipline from raw textual data, both in the past and today. The book also deals with the concept of quality of life of words and aims to foster a discussion about the life cycle of scientific ideas. Textual data retrieved from large corpora pose interesting challenges for any data analysis method and today represent a growing area of research in many fields. New problems emerge from the growing availability of large databases and new methods are needed to retrieve significant information from those large information sources. This book can be used to explain how quantitative methods can be part of the research instrumentation and the "toolbox" of scholars of Humanities and Social Sciences. The book contains numerous examples and a description of the main methods in use, with references to literature and available software. Most of the chapters of the book have been written in a non-technical language for HSS researchers without mathematical, computer or statistical backgrounds.

Author : Anders Hald
Publisher : Springer Science & Business Media
Page : 221 pages
File Size : 47,8 Mb
Release : 2008-08-24
Category : Mathematics
ISBN : 9780387464091

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A History of Parametric Statistical Inference from Bernoulli to Fisher, 1713-1935 by Anders Hald Pdf

This book offers a detailed history of parametric statistical inference. Covering the period between James Bernoulli and R.A. Fisher, it examines: binomial statistical inference; statistical inference by inverse probability; the central limit theorem and linear minimum variance estimation by Laplace and Gauss; error theory, skew distributions, correlation, sampling distributions; and the Fisherian Revolution. Lively biographical sketches of many of the main characters are featured throughout, including Laplace, Gauss, Edgeworth, Fisher, and Karl Pearson. Also examined are the roles played by DeMoivre, James Bernoulli, and Lagrange.

Author : Dr Michael John de Smith
Publisher : The Winchelsea Press
Page : 827 pages
File Size : 47,5 Mb
Release : 2024-06-17
Category : Education
ISBN : 9781912556083

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Statistical Analysis Handbook by Dr Michael John de Smith Pdf

A Comprehensive Handbook of Statistical Concepts, Techniques and Software Tools.

Author : Joseph G. Ibrahim,Ming-Hui Chen,Debajyoti Sinha
Publisher : Springer Science & Business Media
Page : 494 pages
File Size : 44,5 Mb
Release : 2013-03-09
Category : Medical
ISBN : 9781475734478

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Bayesian Survival Analysis by Joseph G. Ibrahim,Ming-Hui Chen,Debajyoti Sinha Pdf

Survival analysis arises in many fields of study including medicine, biology, engineering, public health, epidemiology, and economics. This book provides a comprehensive treatment of Bayesian survival analysis. It presents a balance between theory and applications, and for each class of models discussed, detailed examples and analyses from case studies are presented whenever possible. The applications are all from the health sciences, including cancer, AIDS, and the environment.

Author : I.T. Jolliffe
Publisher : Springer Science & Business Media
Page : 513 pages
File Size : 40,7 Mb
Release : 2006-05-09
Category : Mathematics
ISBN : 9780387224404

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Principal Component Analysis by I.T. Jolliffe Pdf

The first edition of this book was the first comprehensive text written solely on principal component analysis. The second edition updates and substantially expands the original version, and is once again the definitive text on the subject. It includes core material, current research and a wide range of applications. Its length is nearly double that of the first edition.

Author : Gregory C. Reinsel
Publisher : Springer Science & Business Media
Page : 384 pages
File Size : 55,6 Mb
Release : 2003-10-31
Category : Mathematics
ISBN : 0387406190

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Elements of Multivariate Time Series Analysis by Gregory C. Reinsel Pdf

Now available in paperback, this book introduces basic concepts and methods useful in the analysis and modeling of multivariate time series data. It concentrates on the time-domain analysis of multivariate time series, and assumes univariate time series analysis, while covering basic topics such as stationary processes and their covariance matrix structure, vector AR, MA, and ARMA models, forecasting, least squares and maximum likelihood estimation for ARMA models, associated likelihood ratio testing procedures.

Author : Joseph Glaz,Joseph Naus,Sylvan Wallenstein
Publisher : Springer Science & Business Media
Page : 380 pages
File Size : 48,8 Mb
Release : 2013-03-09
Category : Mathematics
ISBN : 9781475734607

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Scan Statistics by Joseph Glaz,Joseph Naus,Sylvan Wallenstein Pdf

In many statistical applications, scientists have to analyze the occurrence of observed clusters of events in time or space. Scientists are especially interested in determining whether an observed cluster of events has occurred by chance if it is assumed that the events are distributed independently and uniformly over time or space. Scan statistics have relevant applications in many areas of science and technology including geology, geography, medicine, minefield detection, molecular biology, photography, quality control and reliability theory and radio-optics.

Author : Thomas J. Santner,Brian J. Williams,William I. Notz
Publisher : Springer Science & Business Media
Page : 288 pages
File Size : 55,7 Mb
Release : 2013-03-09
Category : Mathematics
ISBN : 9781475737998

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The Design and Analysis of Computer Experiments by Thomas J. Santner,Brian J. Williams,William I. Notz Pdf

This book describes methods for designing and analyzing experiments conducted using computer code in lieu of a physical experiment. It discusses how to select the values of the factors at which to run the code (the design of the computer experiment). It also provides techniques for analyzing the resulting data so as to achieve these research goals.