Principles of Statistics

Author: M. G. Bulmer

Publisher: Courier Corporation

ISBN: 9780486637600

Category: Mathematics

Page: 252

View: 1449

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Concise description of classical statistics, from basic dice probabilities to modern regression analysis. Equal stress on theory and applications. Moderate difficulty; only basic calculus required. Includes problems with answers.
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All of Statistics

A Concise Course in Statistical Inference

Author: Larry Wasserman

Publisher: Springer Science & Business Media

ISBN: 0387217363

Category: Mathematics

Page: 442

View: 6733

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Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.
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How to Lie with Statistics

Author: Darrell Huff

Publisher: W. W. Norton & Company

ISBN: 9780393070873

Category: Mathematics

Page: 144

View: 4512

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Over Half a Million Copies Sold--an Honest-to-Goodness Bestseller Darrell Huff runs the gamut of every popularly used type of statistic, probes such things as the sample study, the tabulation method, the interview technique, or the way the results are derived from the figures, and points up the countless number of dodges which are used to full rather than to inform.
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Statistics in a Nutshell

Author: Sarah Boslaugh

Publisher: "O'Reilly Media, Inc."

ISBN: 1449316824

Category: Mathematics

Page: 569

View: 9714

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A clear and concise introduction and reference for anyone new to the subject of statistics.
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Basic Statistics

Author: B L Agarwal

Publisher: New Age International

ISBN: 9788122418149

Category: Statistics

Page: 788

View: 9544

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Basic Statistics Covers A Wide Range Of Statistical Theory Taught In Almost All Faculties. Theory Followed By Relevant Formulae Is Fully Explicated Through Solved Numerical Problems. Mathematical Derivations And Proofs Of The Formulae Are Largely Absent. The Book Presupposes No Advance Knowledge Of Mathematics.Basic Statistics Fully Covers The Syllabi Of Statistics Courses Running In Various Universities In The Faculties Of Commerce, Arts, Master Of Business Management, Agriculture, Home Science, Pharmacy, And For Students Appearing In C.A. (P.E.-I), I.C.W.A. (Inter.), Etc. This Book Provides Exhaustive Matter In A Simple, Lucid And Exact Manner For Inquisitive Minds.Fourth Edition Of Basic Statistics Is Fully Revised And Enlarged. The Addition Of Two Chapters Entitled Research Processes And Experimental Research Designs Has Made The Book Complete In Its Own Sense. Variety Of Large Number Of Theory And Numerical Questions At The End Of Each Chapter Is A Boon To Achieve One S Own Goal. A Reader Will Find The Book Very Useful And Better Than His Expectations.
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Mathematical Statistics

Author: Keith Knight

Publisher: CRC Press

ISBN: 9781584888567

Category: Mathematics

Page: 504

View: 4167

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Traditional texts in mathematical statistics can seem - to some readers-heavily weighted with optimality theory of the various flavors developed in the 1940s and50s, and not particularly relevant to statistical practice. Mathematical Statistics stands apart from these treatments. While mathematically rigorous, its focus is on providing a set of useful tools that allow students to understand the theoretical underpinnings of statistical methodology. The author concentrates on inferential procedures within the framework of parametric models, but - acknowledging that models are often incorrectly specified - he also views estimation from a non-parametric perspective. Overall, Mathematical Statistics places greater emphasis on frequentist methodology than on Bayesian, but claims no particular superiority for that approach. It does emphasize, however, the utility of statistical and mathematical software packages, and includes several sections addressing computational issues. The result reaches beyond "nice" mathematics to provide a balanced, practical text that brings life and relevance to a subject so often perceived as irrelevant and dry.
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Mathematical Methods of Statistics

Author: Harald Cramér

Publisher: Princeton University Press

ISBN: 9780691005478

Category: Mathematics

Page: 575

View: 9819

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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. 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.
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