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 \$87.0021. Approximation Theorems of Mathematical
 \$93.5722. Probability and Statistical Inference
 \$43.2023. Mathematical Methods of Statistics.
 \$32.9524. Student Solutions Manual for Devore/Berk's
 \$103.5025. Mathematical Statistics: A Unified
 \$80.0026. Modern Mathematical Statistics
 \$28.9927. Stat Labs:Mathematical Statistics
 \$99.4328. Mathematical Statistics for Economics
 30. A Course in Mathematical Statistics,
 \$15.9931. Understandable Statistics
 \$102.0232. Statistics: A Bayesian Perspective
 \$41.4433. Mathematical Statistics
 \$293.2234. An Introduction to Probability
 \$10.2535. Schaum's Outline of Statistics
 \$47.8036. Introductory Statistics, Third
 \$51.6437. Fundamentals of Mathematical Statistics:
 \$8.7638. Principles of Statistics
 \$115.2039. Probability and Statistics (4th
 40. INTRODUCTION TO MATHEMATICAL STATISTICS

 21. Approximation Theorems of Mathematical Statisticsby Robert J. Serfling Paperback: 400 Pages (2001-12-21) list price: US\$133.00 -- used & new: US\$87.00 (price subject to change: see help)Asin: 0471219274Average Customer Review: Canada | United Kingdom | Germany | France | Japan Editorial ReviewProduct DescriptionApproximation Theorems of Mathematical StatisticsThis convenient paperback edition makes a seminal text in statistics accessible to a new generation of students and practitioners. Approximation Theorems of Mathematical Statistics covers a broad range of limit theorems useful in mathematical statistics, along with methods of proof and techniques of application. The manipulation of "probability" theorems to obtain "statistical" theorems is emphasized. Besides a knowledge of these basic statistical theorems, this lucid introduction to the subject imparts an appreciation of the instrumental role of probability theory. The book makes accessible to students and practicing professionals in statistics, general mathematics, operations research, and engineering the essentials of:The tools and foundations that are basic to asymptotic theory in statisticsThe asymptotics of statistics computed from a sample, including transformations of vectors of more basic statistics, with emphasis on asymptotic distribution theory and strong convergenceImportant special classes of statistics, such as maximum likelihood estimates and other asymptotic efficient procedures; W. Hoeffding’s U-statistics and R. von Mises’s "differentiable statistical functions"Statistics obtained as solutions of equations ("M-estimates"), linear functions of order statistics ("L-statistics"), and rank statistics ("R-statistics")Use of influence curvesApproaches toward asymptotic relative efficiency of statistical test procedures ... Read moreCustomer Reviews (1) Great Reference As a graduate student in statistics, I have had plenty of opportunities to browse through the pages of this book in search of that theorem, technique, or tool that would be applicable to my own work.In many occasions I was succesful in such search.This title compiles and synthesizes a wealth of definitions, theorems, and techniques classically used in asymptotic theory of estimators.It is as much as possible a self-contained work with enough introductory material to be used independently of other references.A bit outdated now, and with minimal material on dependent random variables, this title is still a classic compendium on statistical approximation theory. ... Read more

 23. Mathematical Methods of Statistics. (PMS-9)by Harald Cramer Paperback: 575 Pages (1999-03-23) list price: US\$82.50 -- used & new: US\$43.20 (price subject to change: see help)Asin: 0691005478Average Customer Review: Canada | United Kingdom | Germany | France | Japan Editorial ReviewProduct DescriptionIn 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. The result of Cramér's work is a masterly exposition of the mathematical methods of modern statistics that set the standard that others have since sought to follow.For anyone with a working knowledge of undergraduate mathematics the book is self contained. The first part is an introduction to the fundamental concept of a distribution and of integration with respect to a distribution. The second part contains the general theory of random variables and probability distributions while the third is devoted to the theory of sampling, statistical estimation, and tests of significance. ... Read moreCustomer Reviews (4) the first great book on mathematical statistics Princeton University Press originally published this book in the mid 1940s. At the time, Harold Cramer was a leading statistician in Sweden. The field of mathematical statistics was just being formalized and there were no existing books with good mathematical treatment of inference methods. Kolmogorov was developing a rigorous measure theoretic basis for probability while Fisher and Neyman were developing different schools of thought on statistical inference. Cramer put together the standard reference on mathematical statistics which is still valuable today. This is the type of book to be enjoyed by mathematical statisticians looking at it from a historical perspective. Recent advances require those who need a modern course to study other texts. Mathematical Statistics made great strides in the 1940s through the 1970s in Europe and America and continues to grow even today.A lot of the the mathematical research in the development of statistical theory can be atrributed to the publication of Cramer's book not the best book ... This book is a very old edition. The print quality is not that good. The book is target to real mathematicians, interested in the abstract foundations of probability. I think this was an excellent book in the past, but currently I found a much better book : 'Real analysis and probability' by R.M. Dudley. Dudley 's book is more modern, for instance mentioning banach spaces as the framework for probability. Dudley 's book also provides more rigor and is even more self contained. Cramers book is definetely a 'nice to have' for historical reasons, but if you want an excellent complete explanation of the abstract probability theory, then you definitely must read Dudley .... not the best book ... This book is a very old edition. The print quality is not that good. The book is target to real mathematicians, interested in the abstract foundations of probability. I think this was an excellent book in the past, but currently I found a much better book : 'Real analysis and probability' by R.M. Dudley. Dudley 's book is more modern, for instance mentioning banach spaces as the framework for probability. Dudley 's book also provides more rigor and is even more self contained. Cramers book is definetely a 'nice to have' for historical reasons, but if you want an excellent complete explanation of the abstract probability theory, then you definitely must read Dudley .... A Statistical Toure de Force This was the first textbook on modern mathematical statistics, and is still one of the best. This work was one of the key elements which transformed probability theory and statistics into rigorous and powerfulbranches of mathematics. It begins with an introduction to the theory ofintegration and measures, assuming no more than a working knowledge ofcalculus, and is one of the best introductory expositions of measure theoryavailable. The second part of the book is on statistical inference, andfollows the three giants of modern statistics, Fisher, Neyman and Pearson. Cramér explains the difficult subjects of confidence regions andNeyman-Pearson hypothesis testing clearly and convincingly. The closingportion of the book discuss analysis of variance and linear regressionmethods; and is supplemented with real-world examples throughout, leaningheavily on the data provided by the Swedish census. This book is aclassic, not least for its combination of lucidity and rigor. Inrecognition of its merits, it has been re-issued in an affordable paperbackedition. It belongs on the shelf of anyone interested in statisticalmethods. ... Read more

 24. Student Solutions Manual for Devore/Berk's Modern Mathematical Statistics with Applicationsby Jay L. Devore, Kenneth N. Berk Paperback: 256 Pages (2006-01-03) list price: US\$32.95 -- used & new: US\$32.95 (price subject to change: see help)Asin: 053440474XAverage Customer Review: Canada | United Kingdom | Germany | France | Japan Editorial ReviewProduct DescriptionThe Student Solutions Manual provides worked-out solutions to the selected problems in the text. ... Read moreCustomer Reviews (1) Solutions Manual I do find this extremely helpful in checking answers and finding out where I went wrong in a problem.However, this solutions manual would be even more beneficial if it included more explanations for each step.I would definitely recommend this for the statistics book. ... Read more

 26. Modern Mathematical Statistics (Wiley Series in Probability and Statistics)by Edward J. Dudewicz, Satya N. Mishra Hardcover: 864 Pages (1988-01) -- used & new: US\$80.00 (price subject to change: see help)Asin: 0471814725Average Customer Review: Canada | United Kingdom | Germany | France | Japan Editorial ReviewProduct DescriptionThis modern treatment of mathematical statistics is concise, yet detailed enough to give readers a solid foundation in all aspects of the field. Treatment of each topic is thorough enough to make the coverage self-contained for a course in probability, and exceptional care has been taken to balance theory with applications. In addition to classical probability theory, such modern topics as order statistics and limiting distributions are discussed, along with applied examples from a wide variety of fields. Discussions include the core mathematical statistics topics of estimation, testing, and confidence intervals; ranking and selection procedures; decision theory; nonparametric statistics; regression and ANOVA; and robust statistical procedures. Computer-assisted data analysis is discussed at several points, reflecting the importance of statistical computation to the field. FORTRAN programs and BMDP routines are included, as well as the highly popular SAS routines. Also looks at the potential contribution of expert systems to statistics. ... Read moreCustomer Reviews (1) good treatment of modern methods Dudewicz and Mishra provide a good treatment of mathematical statistics as it was in 1988. It is unique in its coverage of computational methods and software and the emerging area of expert systems. I was pleased to see coverage of influence functions including some of my work. This book also provides a good mix of theory and application. ... Read more

 32. Statistics: A Bayesian Perspectiveby Donald A. Berry Paperback: 528 Pages (1995-11-16) list price: US\$188.95 -- used & new: US\$102.02 (price subject to change: see help)Asin: 0534234720Average Customer Review: Canada | United Kingdom | Germany | France | Japan Editorial ReviewProduct DescriptionAppropriate for a one-term introductory statistics course, this text introduces statistical concepts and methods from a predominantly Bayesian perspective.It covers standard topics taking the Bayesian view that subjectivity is inevitable in science and that different conclusions from the same study are normal and stresses the advantages of this approach in scientific inference.It presents statistics as a means of integrating data into the scientific process and stresses data analysis and experimental design ideas early. ... Read moreCustomer Reviews (5) The right place to start Excellent for self study. I was able to follow everything up to chapter 11 completely unaided. nice elementary text on Bayesian methods This is an excellent introductory text designed for a first course in statistics. It covers all the topics that are typically in a first course. However, all other texts at this level take the frequentist approach to inference. A few may have sections that introduce Bayesian ideas but the Bayesian approach is a paradigm for statistical inference and as such the approach should be incorporated in all statistical topics. Berry shows that this can be done without the student having to know calculus. To understand Bayesian methods the student mainly has to know that posterior probability = likelihood x prior probability. Berry provides a good list of references for those who want to pursue more advanced topics. This book is unique. It demonstrate that statistics can be taught from the Bayesian approach in the very beginnning. This is much like what Noether did when he wrote an introductory text in statistics taking a strict nonparametric approach. The text is loaded with exercises and the exposition is very clear. There are many useful and entertaining diagrams. Many examples are taken from real medical problems. Medicine is an area in which Berry has done a great deal of consulting and his experience shows in his examples. This should be the text to turn to if you want an introduction to the subject. If you know the basics and want more advanced treatment go to the references mentioned in Berry's preface. Excellent introduction. This is a truly clear and thoughtful introduction to Bayesian statistics.Nothing is taken for granted as the author leads you through examples and concepts. This was my first introduction to Bayesian statistics, and Berry makes it seem so much more reasonable and closer to real research/real life than the artifice involved in other approaches. An excellent introduction This book completely fulfills its goals, one of which is not to be a definitive reference book. It provides a friendly, entertaining introduction into statistics from a Bayesian perspective. Introduction book It is not too useful for people beyond college level. Not as a reference book. ... Read more

 33. Mathematical Statisticsby S. S Wilks Hardcover: 300 Pages (2008-11-04) list price: US\$41.45 -- used & new: US\$41.44 (price subject to change: see help)Asin: 1443725250Canada | United Kingdom | Germany | France | Japan Editorial ReviewProduct DescriptionMATHEMATICAL STATISTICS by S. S. WILKS.PREFACE: 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. During the past few years the author has conducted a two-semester course at Princeton University for advanced undergraduates and beginning graduate students in which an attempt has been made to give the students an Introduction to the more recent develop ments in the mathematical theory of statistics. The subject matter for this course has been gleaned, for the most part, from periodical literature. Since it is impossible to cover in detail any large portion of this literature in two semesters, the course has been held primarily to the basic mathematics of the material, with just enough problems and examples for illustrative and examination purposes. Except for Chapter XI, the contents or the present set of notes constitute the basic subject matter which this course was designed to cover. Some of the material in the authors Statistical Inference 1937 has been revised and Included. 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. However, moment generating functions are used they are more easily understood by students at this level and are almost as useful as characteristic functions as far as actual applications to mathematical statistics are concerned. Many specialized topics are omitted, such as intraclass, tetrachoric and other specialized correlation problems, aeml-lnvariants, renewal theory, the Behrens - Fisher problem, special transformations of population parameters and random variables, sampling from Poisson populations, etc. It is the experience of the author that an effective way for handling many of these specialized topics is to formulate them as problems for the students. If and when the present notes are revised and issued in permanent form, such problems will be Inserted at the ends of sections and chapters. In the meantime, criticisms, suggestions, and notices of errors will be gratefully received from readers. Finally, the author wishes to express his indebtedness to Dr. Henry Scheffe, Mr. T. W. Anderson, Jr. and Mr. D. F. Votaw, Jr. for their generous assistance in pre paring these notes. Most of the sections in the first seven chapters and several sections in ChapteSX and XI were prepared by these men, particularly the first two. Thanks are due Mrs. W. M. Weber for her painstaking preparation of the manuscript for lithoprinting. S. S. Wilks. Contents include: CHAPTER I, INTRODUCTION 1 CHAPTER II. DISTRIBUTION FUNCTIONS 52.1 Cumulative Distribution Functions 5 2.11 IMivariate Case 5 2.12 Blva rlate Case 8 52.13 k-Variate Case 11 2.2 Marginal Distributions 12 52.3 Statistical Independence 13 52.1 Conditional Probability 15 52.5 The Stleltjes Integral 17 52.51 Univarlate Case 17 52.52 Blvarlate Case 20 52.53 k-Variate Case 21 52.6 Transformation of Variables 23 2.61 Unlvariate Case 2k 2.62 Blvarlate Case 2k 52.63 k-Vtetrlate Case 28 52.7 Mean Value 29 52.71 Univarlate Case Tchebychef f f s Inequality 30 52.72 Bivariate Case 31 52.73 k-Variate Case 32 52.71 Mean and Variance of a Linear Combination of Bandom Variables 33 52... ... Read more

 34. An Introduction to Probability Theory and Mathematical Statisticsby V. K. Rohatgi Paperback: 684 Pages (1976-03) list price: US\$199.50 -- used & new: US\$293.22 (price subject to change: see help)Asin: 0471731358Average Customer Review: Canada | United Kingdom | Germany | France | Japan Customer Reviews (2) great and extensive introductory text It is very difficult to have an introductory text do justice to the theory of probability and statistics, especially in a first course. Although the emphasis is greater on statistics, Rohatgi does a great job of covering both topics extensively and that is why the book had to be this thick! Areference statistic book If you want to understand the Probability Theory, this book is the best instrument that I know for this target. It deals with probabilities without using complex numbers: the characteristic function doesn`t appear in it:the autor used the moment generating function instead. In this book you canfind the most important things about the normal distribution and othercontinuous distribution related with it: the Student t-distribution, thechi-square and the Snedecor's F-distribution, the Cauchy distribution...For every important result you may find a lot of examples where you canapply it or counterexamples which shows you where you can't. It's a strongbook to know the estimation of a real parameter or to learn how to teststatistical hypotheses. It handles too with nonparametric inference. Youcan find also random vectors in this book, but you may find better books ifyou're interesting in this matter. ... Read more

 36. Introductory Statistics, Third Editionby Sheldon M. Ross Hardcover: 848 Pages (2010-02-25) list price: US\$109.95 -- used & new: US\$47.80 (price subject to change: see help)Asin: 0123743885Average Customer Review: Canada | United Kingdom | Germany | France | Japan Editorial ReviewProduct DescriptionIn this 3rd edition revised text, master expositor Sheldon Ross has produced a unique work in introductory statistics. The text's main merits are the clarity of presentation, contemporary examples and applications from diverse areas, and an explanation of intuition and ideas behind the statistical methods. Concepts are motivated, illustrated and explained in a way that attempts to increase one's intuition. To quote from the preface, "It is only when a student develops a feel or intuition for statistics that she or he is really on the path toward making sense of data." Ross achieves this goal through a coherent mix of mathematical analysis, intuitive discussions and examples. Applications and examples refer to real-world issues, such as gun control, stock price models, health issues, driving age limits, school admission ages, use of helmets, sports, scientific fraud and many others.Ancillary list: Instructor's Manual - http://textbooks.elsevier.com/web/manuals.aspx?isbn=9780123743886Student Solutions Manual - http://www.elsevierdirect.com/product.jsp?isbn=9780123743886Student Solutions Manual for 2nd Edition - http://www.elsevierdirect.com/product.jsp?isbn=9780120885510Sample Chapter, eBook - http://www.elsevierdirect.com/product.jsp?isbn=9780123743886Companion Website w/Data Sets - http://www.elsevierdirect.com/companion.jsp?ISBN=9780123743886 Unique historical perspective profiling prominent statisticians and historical events to motivate learning by providing interest and contextUse of exercises and examples helps guide the student towards indpendent learning using real issues and real data, e.g. stock price models, health issues, gender issues, sports, scientific fraud. Summary/Key Terms- chapters end with detailed reviews of important concepts and formulas, key terms and definitions which are useful to students as study toolsData sets from text and exercise material will be available to download from the text website, saves students time ... Read moreCustomer Reviews (2) Clear explanations but poorly edited I bought this book for a university level statistics course. While the book has been helpful, I have been troubled by the vast number of editorial mistakes in the sample problems - wrong answers, incorrect data tables etc. Most textbooks have an error or two, but so far I have come across mistakes in every chapter. Stats = Fun With this excellently written, lively, and sometimes tear-jerking look into the basic principles of statistics, there is not a chance in hell your kids won't grown up to be rocket scientists. ... Read more

 37. Fundamentals of Mathematical Statistics: Vol. 1: Probability for Statistics (Springer Texts in Statistics)by Hung T. Nguyen, Gerald S. Rogers Hardcover: 432 Pages (1989-07-25) list price: US\$109.00 -- used & new: US\$51.64 (price subject to change: see help)Asin: 0387970142Canada | United Kingdom | Germany | France | Japan Editorial ReviewProduct DescriptionThis is the first half of a set of lecture notes with exercises - a text - for two semester course in mathematical statistics at the senior/graduate level for those who need a strong background in statistics as an essential tool in their career. To study this text, the reader needs a thorough familiarity with calculus including such things as Jacobians and series but somewhat less intense familiarity with matrices including quadratic forms and eigenvalues. For convenience, these lecture notes were divided into two parts: Volume I, Probability for Statistics, for the first semester, and Volume II, Statistical Inference, for the second. ... Read more