Modern Concepts and Theorems of Mathematical Statistics

Filename: modern-concepts-and-theorems-of-mathematical-statistics.pdf
ISBN: 9781461248569
Release Date: 2012-12-06
Number of pages: 156
Author: Edward B. Manoukian
Publisher: Springer Science & Business Media

Download and read online Modern Concepts and Theorems of Mathematical Statistics in PDF and EPUB With the rapid progress and development of mathematical statistical methods, it is becoming more and more important for the student, the in structor, and the researcher in this field to have at their disposal a quick, comprehensive, and compact reference source on a very wide range of the field of modern mathematical statistics. This book is an attempt to fulfill this need and is encyclopedic in nature. It is a useful reference for almost every learner involved with mathematical statistics at any level, and may supple ment any textbook on the subject. As the primary audience of this book, we have in mind the beginning busy graduate student who finds it difficult to master basic modern concepts by an examination of a limited number of existing textbooks. To make the book more accessible to a wide range of readers I have kept the mathematical language at a level suitable for those who have had only an introductory undergraduate course on probability and statistics, and basic courses in calculus and linear algebra. No sacrifice, how ever, is made to dispense with rigor. In stating theorems I have not always done so under the weakest possible conditions. This allows the reader to readily verify if such conditions are indeed satisfied in most applications given in modern graduate courses without being lost in extra unnecessary mathematical intricacies. The book is not a mere dictionary of mathematical statistical terms.


Tools for Statistical Inference

Filename: tools-for-statistical-inference.pdf
ISBN: 9781468401929
Release Date: 2012-12-06
Number of pages: 156
Author: Martin A. Tanner
Publisher: Springer Science & Business Media

Download and read online Tools for Statistical Inference in PDF and EPUB This book provides a unified introduction to a variety of computational algorithms for likelihood and Bayesian inference. In this second edition, I have attempted to expand the treatment of many of the techniques dis cussed, as well as include important topics such as the Metropolis algorithm and methods for assessing the convergence of a Markov chain algorithm. Prerequisites for this book include an understanding of mathematical statistics at the level of Bickel and Doksum (1977), some understanding of the Bayesian approach as in Box and Tiao (1973), experience with condi tional inference at the level of Cox and Snell (1989) and exposure to statistical models as found in McCullagh and Neider (1989). I have chosen not to present the proofs of convergence or rates of convergence since these proofs may require substantial background in Markov chain theory which is beyond the scope ofthis book. However, references to these proofs are given. There has been an explosion of papers in the area of Markov chain Monte Carlo in the last five years. I have attempted to identify key references - though due to the volatility of the field some work may have been missed.


The Statistical Stability Phenomenon

Filename: the-statistical-stability-phenomenon.pdf
ISBN: 9783319435855
Release Date: 2016-10-17
Number of pages: 322
Author: Igor I. Gorban
Publisher: Springer

Download and read online The Statistical Stability Phenomenon in PDF and EPUB This monograph investigates violations of statistical stability of physical events, variables, and processes and develops a new physical-mathematical theory taking into consideration such violations – the theory of hyper-random phenomena. There are five parts. The first describes the phenomenon of statistical stability and its features, and develops methods for detecting violations of statistical stability, in particular when data is limited. The second part presents several examples of real processes of different physical nature and demonstrates the violation of statistical stability over broad observation intervals. The third part outlines the mathematical foundations of the theory of hyper-random phenomena, while the fourth develops the foundations of the mathematical analysis of divergent and many-valued functions. The fifth part contains theoretical and experimental studies of statistical laws where there is violation of statistical stability. The monograph should be of particular interest to engineers and scientists in general who study the phenomenon of statistical stability and use statistical methods for high-precision measurements, prediction, and signal processing over long observation intervals.


The Collected Works of Wassily Hoeffding

Filename: the-collected-works-of-wassily-hoeffding.pdf
ISBN: 9781461208655
Release Date: 2012-12-06
Number of pages: 660
Author: Wassily Hoeffding
Publisher: Springer Science & Business Media

Download and read online The Collected Works of Wassily Hoeffding in PDF and EPUB It has been a rare privilege to assemble this volume of Wassily Hoeffding's Collected Works. Wassily was, variously, a teacher, supervisor and colleague to us, and his work has had a profound influence on our own. Yet this would not be sufficient reason to publish his collected works. The additional and overwhelmingly compelling justification comes from the fun damental nature of his contributions to Statistics and Probability. Not only were his ideas original, and far-reaching in their implications; Wassily de veloped them so completely and elegantly in his papers that they are still cited as prime references up to half a century later. However, three of his earliest papers are cited rarely, if ever. These include material from his doctoral dissertation. They were written in German, and two of them were published in relatively obscure series. Rather than reprint the original articles, we have chosen to have them translated into English. These trans lations appear in this book, making Wassily's earliest research available to a wide audience for the first time. All other articles (including those of his contributions to Mathematical Reviews which go beyond a simple reporting of contents of articles) have been reproduced as they appeared, together with annotations and corrections made by Wassily on some private copies of his papers. Preceding these articles are three review papers which dis cuss the . impact of his work in some of the areas where he made major contributions.


Modern Multidimensional Scaling

Filename: modern-multidimensional-scaling.pdf
ISBN: 9781475727111
Release Date: 2013-04-18
Number of pages: 472
Author: Ingwer Borg
Publisher: Springer Science & Business Media

Download and read online Modern Multidimensional Scaling in PDF and EPUB Multidimensional scaling (MDS) is a technique for the analysis of similarity or dissimilarity data on a set of objects. Such data may be intercorrelations of test items, ratings of similarity on political candidates, or trade indices for a set of countries. MDS attempts to model such data as distances among points in a geometric space. The main reason for doing this is that one wants a graphical display of the structure of the data, one that is much easier to understand than an array of numbers and, moreover, one that displays the essential information in the data, smoothing out noise. There are numerous varieties of MDS. Some facets for distinguishing among them are the particular type of geometry into which one wants to map the data, the mapping function, the algorithms used to find an optimal data representation, the treatment of statistical error in the models, or the possibility to represent not just one but several similarity matrices at the same time. Other facets relate to the different purposes for which MDS has been used, to various ways of looking at or "interpreting" an MDS representation, or to differences in the data required for the particular models. In this book, we give a fairly comprehensive presentation of MDS. For the reader with applied interests only, the first six chapters of Part I should be sufficient. They explain the basic notions of ordinary MDS, with an emphasis on how MDS can be helpful in answering substantive questions.


Statistical Tables and Formulae

Filename: statistical-tables-and-formulae.pdf
ISBN: 9781461396291
Release Date: 2012-12-06
Number of pages: 93
Author: Stephen Kokoska
Publisher: Springer Science & Business Media

Download and read online Statistical Tables and Formulae in PDF and EPUB All students and professionals in statistics should refer to this volume as it is a handy reference source for statistical formulas and information on basic probability distributions. It contains carefully designed and well laid out tables for standard statistical distributions (including Binomial, Poisson, Normal, and Chi-squared). In addition, there are several tables of Critical Values for various statistics tests.


Mathematical Nonparametric Statistics

Filename: mathematical-nonparametric-statistics.pdf
ISBN: 2881240933
Release Date: 1986-11-10
Number of pages: 326
Author: Manoukian
Publisher: CRC Press

Download and read online Mathematical Nonparametric Statistics in PDF and EPUB


Asymptotics in Statistics

Filename: asymptotics-in-statistics.pdf
ISBN: 9781468403770
Release Date: 2012-12-06
Number of pages: 180
Author: Lucien Le Cam
Publisher: Springer Science & Business Media

Download and read online Asymptotics in Statistics in PDF and EPUB In the summer of 1968 one of the present authors (LLC) had the pleasure of giving a sequence of lectures at the University of Mon treal. Lecture notes were collected and written out by Drs. Catherine Doleans, Jean Haezendonck and Roch Roy. They were published in French by the Presses of the University of Montreal as part of their series of Seminaires de Mathematiques Superieures. Twenty years later it was decided that a Chinese translation could be useful, but upon prodding by Professor Shanti Gupta at Purdue we concluded that the notes should be updated and rewritten in English and in Chinese. The present volume is the result of that effort. We have preserved the general outline of the lecture notes, but we have deleted obsolete material and sketched some of the results acquired during the past twenty years. This means that while the original notes concentrated on the LAN situation we have included here some results of Jeganathan and others on the LAMN case. Also included are versions of the Hajek-Le Cam asymptotic minimax and convolution theorems with some of their implications. We have not attempted to give complete coverage of the subject and have often stated theorems without indicating their proofs.


Breakthroughs in Statistics

Filename: breakthroughs-in-statistics.pdf
ISBN: 9781461206675
Release Date: 2013-12-01
Number of pages: 561
Author: Samuel Kotz
Publisher: Springer Science & Business Media

Download and read online Breakthroughs in Statistics in PDF and EPUB Volume III includes more selections of articles that have initiated fundamental changes in statistical methodology. It contains articles published before 1980 that were overlooked in the previous two volumes plus articles from the 1980's - all of them chosen after consulting many of today's leading statisticians.


Theory of Statistics

Filename: theory-of-statistics.pdf
ISBN: 9781461242505
Release Date: 2012-12-06
Number of pages: 716
Author: Mark J. Schervish
Publisher: Springer Science & Business Media

Download and read online Theory of Statistics in PDF and EPUB The aim of this graduate textbook is to provide a comprehensive advanced course in the theory of statistics covering those topics in estimation, testing, and large sample theory which a graduate student might typically need to learn as preparation for work on a Ph.D. An important strength of this book is that it provides a mathematically rigorous and even-handed account of both Classical and Bayesian inference in order to give readers a broad perspective. For example, the "uniformly most powerful" approach to testing is contrasted with available decision-theoretic approaches.


Statistical Models Based on Counting Processes

Filename: statistical-models-based-on-counting-processes.pdf
ISBN: 9781461243489
Release Date: 2012-12-06
Number of pages: 784
Author: PER KRAGH ANDERSEN
Publisher: Springer Science & Business Media

Download and read online Statistical Models Based on Counting Processes in PDF and EPUB Modern survival analysis and more general event history analysis may be effectively handled within the mathematical framework of counting processes. This book presents this theory, which has been the subject of intense research activity over the past 15 years. The exposition of the theory is integrated with careful presentation of many practical examples, drawn almost exclusively from the authors'own experience, with detailed numerical and graphical illustrations. Although Statistical Models Based on Counting Processes may be viewed as a research monograph for mathematical statisticians and biostatisticians, almost all the methods are given in concrete detail for use in practice by other mathematically oriented researchers studying event histories (demographers, econometricians, epidemiologists, actuarial mathematicians, reliability engineers and biologists). Much of the material has so far only been available in the journal literature (if at all), and so a wide variety of researchers will find this an invaluable survey of the subject.


Robust Asymptotic Statistics

Filename: robust-asymptotic-statistics.pdf
ISBN: 9781468406245
Release Date: 2012-12-06
Number of pages: 390
Author: Helmut Rieder
Publisher: Springer Science & Business Media

Download and read online Robust Asymptotic Statistics in PDF and EPUB 1 To the king, my lord, from your servant Balasi : 2 ... The king should have a look. Maybe the scribe who reads to the king did not understand . . . . shall I personally show, with this tablet that I am sending to the king, my lord, how the omen was written. 3 Really, he who has not followed the text with his finger cannot possibly understand it. This book is about optimally robust functionals and their unbiased esti mators and tests. Functionals extend the parameter of the assumed ideal center model to neighborhoods of this model that contain the actual distri bution. The two principal questions are (F): Which functional to choose? and (P): Which statistical procedure to use for the selected functional? Using a local asymptotic framework, we deal with both problems by linking up nonparametric statistical optimality with infinitesimal robust ness criteria. Thus, seemingly separate developments in robust statistics are presented in a unifying way.


Conditional Specification of Statistical Models

Filename: conditional-specification-of-statistical-models.pdf
ISBN: 9780387225883
Release Date: 2007-06-02
Number of pages: 416
Author: Barry Arnold
Publisher: Springer Science & Business Media

Download and read online Conditional Specification of Statistical Models in PDF and EPUB Efforts to visualize multivariate densities necessarily involve the use of cross-sections, or, equivalently, conditional densities. This book focuses on distributions that are completely specified in terms of conditional densities. They are appropriately used in any modeling situation where conditional information is completely or partially available. All statistical researchers seeking more flexible models than those provided by classical models will find conditionally specified distributions of interest.


Smoothing Methods in Statistics

Filename: smoothing-methods-in-statistics.pdf
ISBN: 9781461240266
Release Date: 2012-12-06
Number of pages: 340
Author: Jeffrey S. Simonoff
Publisher: Springer Science & Business Media

Download and read online Smoothing Methods in Statistics in PDF and EPUB Focussing on applications, this book covers a very broad range, including simple and complex univariate and multivariate density estimation, nonparametric regression estimation, categorical data smoothing, and applications of smoothing to other areas of statistics. It will thus be of particular interest to data analysts, as arguments generally proceed from actual data rather than statistical theory, while the "Background Material" sections will interest statisticians studying the field. Over 750 references allow researchers to find the original sources for more details, and the "Computational Issues" sections provide sources for statistical software that use the methods discussed. Each chapter includes exercises with a heavily computational focus based upon the data sets used in the book, making it equally suitable as a textbook for a course in smoothing.


Statistical Design and Analysis for Intercropping Experiments

Filename: statistical-design-and-analysis-for-intercropping-experiments.pdf
ISBN: 9781461393054
Release Date: 2012-12-06
Number of pages: 298
Author: Walter T. Federer
Publisher: Springer Science & Business Media

Download and read online Statistical Design and Analysis for Intercropping Experiments in PDF and EPUB Intercropping is a method of sustaining or improving soil structure by growing two or more crops on the same field. It is a technique of wide application and of growing importance for both commercial and subsistence farmers. This textbook provides a comprehensive survey of the design and analysis of intercropping experiments. Its main themes are that techniques such as relative indices make it possible to cover a wide variety of conditions, and that statistical models for density-yield relations enable recommendations to be made to growers of crops. As a result, graduate students and researchers in statistics, biometry, and agriculture whose study involves intercropping will find this an invaluable text and reference.