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Statistics & Probability Books

You are currently browsing 791–800 of 1,023 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. Data Driven Statistical Methods

    By Peter Sprent

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Data Driven Statistical Methods is designed for use either as a text book at the undergraduate level, as a source book providing material and suggestions for teachers wishing to incorporate some of its features into more general courses, and also as a self-instruction manual for applied...

    Published December 1st 1997 by Chapman and Hall/CRC

  2. Tables for the Use of Range and Studentized Range in Tests of Hypotheses

    By H. Leon Harter, N. Balakrishnan

    A companion volume to the authors' previous well-received work, the CRC Handbook of Tables for the Use of Order Statistics in Estimation, this handbook discusses testing whether a hypothesis is true or false. Together, these volumes are your complete reference to theory and important tables...

    Published October 27th 1997 by CRC Press

  3. Understanding Probability and Statistics

    A Book of Problems

    By Ruma Falk

    This popular problem collection is now available in paperback to be used for self study and in conjunction with basic courses in probability and statistics. Its strength lies in the originality of the problems which have been extensively tested in teaching by the author and others....

    Published September 15th 1997 by A K Peters/CRC Press

  4. Statistical Process Control in Manufacturing Practice

    By Kear

    Series: Manufacturing Engineering and Materials Processing

    Emphasizing the importance of understanding and reducing process variation to achieve quality manufacturing performance, this work establishes how statistical process control (SPC) provides powerful tools for measuring and regulating manufacturing processes. It presents information derived from...

    Published September 10th 1997 by CRC Press

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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