A Primer on Statistical Distributions

A Primer on Statistical Distributions PDF

Author: Narayanaswamy Balakrishnan

Publisher: John Wiley & Sons

Published: 2004-12-04

Total Pages: 322

ISBN-13: 0471722219

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Designed as an introduction to statistical distribution theory. * Includes a first chapter on basic notations and definitions that are essential to working with distributions. * Remaining chapters are divided into three parts: Discrete Distributions, Continuous Distributions, and Multivariate Distributions. * Exercises are incorporated throughout the text in order to enhance understanding of materials just taught.

A Mathematical Primer for Social Statistics

A Mathematical Primer for Social Statistics PDF

Author: John Fox

Publisher: SAGE Publications

Published: 2021-01-11

Total Pages: 199

ISBN-13: 1071833243

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A Mathematical Primer for Social Statistics, Second Edition presents mathematics central to learning and understanding statistical methods beyond the introductory level: the basic "language" of matrices and linear algebra and its visual representation, vector geometry; differential and integral calculus; probability theory; common probability distributions; statistical estimation and inference, including likelihood-based and Bayesian methods. The volume concludes by applying mathematical concepts and operations to a familiar case, linear least-squares regression. The Second Edition pays more attention to visualization, including the elliptical geometry of quadratic forms and its application to statistics. It also covers some new topics, such as an introduction to Markov-Chain Monte Carlo methods, which are important in modern Bayesian statistics. A companion website includes materials that enable readers to use the R statistical computing environment to reproduce and explore computations and visualizations presented in the text. The book is an excellent companion to a "math camp" or a course designed to provide foundational mathematics needed to understand relatively advanced statistical methods.

A Primer of Multivariate Statistics

A Primer of Multivariate Statistics PDF

Author: Richard J. Harris

Publisher: Psychology Press

Published: 2001-05-01

Total Pages: 632

ISBN-13: 1135555435

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Drawing upon more than 30 years of experience in working with statistics, Dr. Richard J. Harris has updated A Primer of Multivariate Statistics to provide a model of balance between how-to and why. This classic text covers multivariate techniques with a taste of latent variable approaches. Throughout the book there is a focus on the importance of describing and testing one's interpretations of the emergent variables that are produced by multivariate analysis. This edition retains its conversational writing style while focusing on classical techniques. The book gives the reader a feel for why one should consider diving into more detailed treatments of computer-modeling and latent-variable techniques, such as non-recursive path analysis, confirmatory factor analysis, and hierarchical linear modeling. Throughout the book there is a focus on the importance of describing and testing one's interpretations of the emergent variables that are produced by multivariate analysis.

A Statistics Primer for Managers

A Statistics Primer for Managers PDF

Author: John J. Clark

Publisher: MacMillan Publishing Company

Published: 1983

Total Pages: 280

ISBN-13:

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Explains the fundamentals of statistics and describes techniques for interpreting statistical data and making decisions based on statistical reports.

Statistical Distributions

Statistical Distributions PDF

Author: Merran Evans

Publisher: Wiley-Interscience

Published: 1993-07-29

Total Pages: 202

ISBN-13:

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From how long a new car will last to the chances of an earthquake in California, random variables play an important role in all kinds of statistical and probabilistic calculations. Now, in this expanded and revised Second Edition, students and professional practitioners in the natural, life, social, and management sciences have a concise yet comprehensive source of information on 39 leading distributions used to describe these random variables. Offering rapid access to information otherwise scattered among numerous and costly books and journals, this practical and well-organized work presents the key formulas, tables, diagrams, and general properties of the 39 distributions which have come to prominence because of their mathematical or empirical utility. Moreover, introductory chapters cover the fundamental concepts of the field with exemplary clarity, describing the rules governing the relationships between variates, and developing the consistent and unambiguous nomenclature that underlies the entire book. All those who have felt the need for a quick "look-up" summary, clarification, or basic introduction to distributions will find this unique, up-to-date Second Edition invaluable in many research, teaching, study, and professional situations.

A Mathematical Primer for Social Statistics

A Mathematical Primer for Social Statistics PDF

Author: John Fox

Publisher: SAGE

Published: 2009

Total Pages: 185

ISBN-13: 1412960800

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The ideal primer for students and researchers across the social sciences who wish to master the necessary maths in order to pursue studies involving advanced statistical methods

Handbook of Statistical Distributions with Applications

Handbook of Statistical Distributions with Applications PDF

Author: K. Krishnamoorthy

Publisher: CRC Press

Published: 2006-06-19

Total Pages: 371

ISBN-13: 1420011375

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In the area of applied statistics, scientists use statistical distributions to model a wide range of practical problems, from modeling the size grade distribution of onions to modeling global positioning data. To apply these probability models successfully, practitioners and researchers must have a thorough understanding of the theory as well as a

Handbook of the Normal Distribution, Second Edition

Handbook of the Normal Distribution, Second Edition PDF

Author: Jagdish K. Patel

Publisher: CRC Press

Published: 1996-01-16

Total Pages: 452

ISBN-13: 9780824793425

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"Traces the historical development of the normal law. Second Edition offers a comprehensive treatment of the bivariate normal distribution--presenting entirely new material on normal integrals, asymptotic normality, the asymptotic properties of order statistics, and point estimation and statistical intervals."

Primer for Data Analytics and Graduate Study in Statistics

Primer for Data Analytics and Graduate Study in Statistics PDF

Author: Douglas Wolfe

Publisher: Springer Nature

Published: 2020-09-26

Total Pages: 233

ISBN-13: 3030474798

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This book is specially designed to refresh and elevate the level of understanding of the foundational background in probability and distributional theory required to be successful in a graduate-level statistics program. Advanced undergraduate students and introductory graduate students from a variety of quantitative backgrounds will benefit from the transitional bridge that this volume offers, from a more generalized study of undergraduate mathematics and statistics to the career-focused, applied education at the graduate level. In particular, it focuses on growing fields that will be of potential interest to future M.S. and Ph.D. students, as well as advanced undergraduates heading directly into the workplace: data analytics, statistics and biostatistics, and related areas.

A Primer in Probability, Second Edition

A Primer in Probability, Second Edition PDF

Author: Kathleen Subrahmaniam

Publisher: CRC Press

Published: 1990-07-27

Total Pages: 338

ISBN-13: 9780849306617

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Somewhat revised/expanded new edition of a problem-oriented introductory undergraduate text, the first edition of which appeared about a decade ago. The author writes with courteous clarity, and imposes only modest demands upon the mathematical skills of her readers. Problems at the end of each of t