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Statistics & Probability Books

You are currently browsing 791–800 of 1,019 new and published books in the subject of Statistics & Probability — sorted by publish date from newer books to older books.

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New and Published Books – Page 80

  1. What If There Were No Significance Tests?

    Edited by Lisa L. Harlow, Stanley A. Mulaik, James H. Steiger

    Series: Multivariate Applications Series

    This book is the result of a spirited debate stimulated by a recent meeting of the Society of Multivariate Experimental Psychology. Although the viewpoints span a range of perspectives, the overriding theme that emerges states that significance testing may still be useful if supplemented with some...

    Published August 1st 1997 by Psychology Press

  2. Analysis of Incomplete Multivariate Data

    By J.L. Schafer

    Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

    The last two decades have seen enormous developments in statistical methods for incomplete data. The EM algorithm and its extensions, multiple imputation, and Markov Chain Monte Carlo provide a set of flexible and reliable tools from inference in large classes of missing-data problems. Yet, in...

    Published August 1st 1997 by Chapman and Hall/CRC

  3. Theory of Sample Surveys

    By M. Thompson

    Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

    Following the chronological development of sample surveys, this book provides an analysis of the mathematical and statistical theory of the subject.The text begins with the mathematics of randomized sampling designs as well as a general treatment of estimation of population totals through the...

    Published August 1st 1997 by Chapman and Hall/CRC

  4. CRC Handbook of Tables for Order Statistics from Inverse Gaussian Distributions with Applications

    By N. Balakrishnan, William Chen

    First derived within the context of life-testing, inverse Gaussian distribution has become one of the most important and widely employed distributions, and is often used to model the lifetimes of components. It is also used as a model in many varied applications, including fatigue analysis,...

    Published July 30th 1997 by CRC Press

  5. Bayesian Methods for Finite Population Sampling

    By Malay Ghosh, Glen Meeden

    Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

    Assuming a basic knowledge of the frequentist approach to finite population sampling, Bayesian Methods for Finite Population Sampling describes Bayesian and predictive approaches to inferential problems with an emphasis on the likelihood principle. The authors demonstrate that a variety of levels...

    Published June 1st 1997 by Chapman and Hall/CRC

  6. Statistical Evidence

    A Likelihood Paradigm

    By Richard Royall

    Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

    Interpreting statistical data as evidence, Statistical Evidence: A Likelihood Paradigm focuses on the law of likelihood, fundamental to solving many of the problems associated with interpreting data in this way. Statistics has long neglected this principle, resulting in a seriously defective...

    Published June 1st 1997 by Chapman and Hall/CRC

  7. The Theory of Dispersion Models

    By Bent Jorgensen

    Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

    The theory of dispersion models straddles both statistics and probability, and involves an encyclopedic collection of tools, such as exponential families, asymptotic theory, stochastic processes, Tauber theory, infinite divisibility, and stable distributions. The Theory of Dispersion Models...

    Published June 1st 1997 by Chapman and Hall/CRC

  8. Variance Components

    Mixed Models, Methodologies and Applications

    By Poduri S.R.S. Rao

    Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

    Variance Components Estimation deals with the evaluation of the variation between observable data or classes of data. This is an up-to-date, comprehensive work that is both theoretical and applied. Topics include ML and REML methods of estimation; Steepest-Acent, Newton-Raphson, scoring, and EM...

    Published June 1st 1997 by Chapman and Hall/CRC

  9. Multivariate Models and Multivariate Dependence Concepts

    By Harry Joe

    Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

    This book on multivariate models, statistical inference, and data analysis contains deep coverage of multivariate non-normal distributions for modeling of binary, count, ordinal, and extreme value response data. It is virtually self-contained, and includes many exercises and unsolved problems....

    Published May 1st 1997 by Chapman and Hall/CRC

  10. Mixed Poisson Processes

    By J Grandell

    Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

    To date, Mixed Poisson processes have been studied by scientists primarily interested in either insurance mathematics or point processes. Work in one area has often been carried out without knowledge of the other area. Mixed Poisson Processes is the first book to combine and concentrate on these...

    Published May 1st 1997 by Chapman and Hall/CRC