Chapman & Hall/CRC Texts in Statistical Science

New and Published Books

51-60 of 79 results in Chapman & Hall/CRC Texts in Statistical Science

51. Analysis of Failure and Survival Data

    By Peter J. Smith

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Analysis of Failure and Survival Data is an essential textbook for graduate-level students of survival analysis and reliability and a valuable reference for practitioners. It focuses on the many techniques that appear in popular software packages, including plotting product-limit survival curves,...

    Published February 25th 2002 by Chapman and Hall/CRC
52. A First Course in Linear Model Theory

    By Nalini Ravishanker, Dipak K. Dey

    Series: Chapman & Hall/CRC Texts in Statistical Science

    This innovative, intermediate-level statistics text fills an important gap by presenting the theory of linear statistical models at a level appropriate for senior undergraduate or first-year graduate students. With an innovative approach, the author's introduces students to the mathematical and...

    Published December 20th 2001 by Chapman and Hall/CRC
53. Sampling Methodologies with Applications

    By Poduri S.R.S. Rao

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Sampling methods are integral to the design of surveys and experiments, to the validity of results, and thus to the study of statistics, social science, and a variety other disciplines that use statistical data. Yet most of the available texts on the subject are either quite advanced and...

    Published November 21st 2000 by Chapman and Hall/CRC
54. Mathematical Statistics

    By Keith Knight

    Series: Chapman & Hall/CRC Texts in Statistical Science

    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...

    Published November 23rd 1999 by Chapman and Hall/CRC
55. A Course in Categorical Data Analysis

    By Thomas Leonard

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Categorical data-comprising counts of individuals, objects, or entities in different categories-emerge frequently from many areas of study, including medicine, sociology, geology, and education. They provide important statistical information that can lead to real-life conclusions and the discovery...

    Published November 21st 1999 by Chapman and Hall/CRC
56. 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 November 30th 1997 by Chapman and Hall/CRC
57. Practical Data Analysis for Designed Experiments

    By Brian S. Yandell

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Placing data in the context of the scientific discovery of knowledge through experimentation, Practical Data Analysis for Designed Experiments examines issues of comparing groups and sorting out factor effects and the consequences of imbalance and nesting, then works through more practical...

    Published December 31st 1996 by Chapman and Hall/CRC
58. Beyond ANOVA

    Basics of Applied Statistics

    By Rupert G. Miller, Jr.

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Renowned statistician R.G. Miller set the pace for statistics students with Beyond ANOVA: Basics of Applied Statistics. Designed to show students how to work with a set of "real world data," Miller's text goes beyond any specific discipline, and considers a whole variety of techniques from ANOVA...

    Published December 31st 1996 by Chapman and Hall/CRC
59. A Course in Large Sample Theory

    By Thomas S. Ferguson

    Series: Chapman & Hall/CRC Texts in Statistical Science

    A Course in Large Sample Theory is presented in four parts. The first treats basic probabilistic notions, the second features the basic statistical tools for expanding the theory, the third contains special topics as applications of the general theory, and the fourth covers more standard...

    Published June 30th 1996 by Chapman and Hall/CRC
60. Practical Longitudinal Data Analysis

    By David J. Hand, Martin J. Crowder

    Series: Chapman & Hall/CRC Texts in Statistical Science

    This text describes regression-based approaches to analyzing longitudinal and repeated measures data. It emphasizes statistical models, discusses the relationships between different approaches, and uses real data to illustrate practical applications. It uses commercially available software when it...

    Published February 29th 1996 by Chapman and Hall/CRC