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Statistics for the Biological Sciences Books

You are currently browsing 241–250 of 308 new and published books in the subject of Statistics for the Biological Sciences — sorted by publish date from newer books to older books.

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New and Published Books – Page 25

  1. Classical Competing Risks

    By Martin J. Crowder

    If something can fail, it can often fail in one of several ways and sometimes in more than one way at a time. There is always some cause of failure, and almost always, more than one possible cause. In one sense, then, survival analysis is a lost cause. The methods of Competing Risks have often been...

    Published May 11th 2001 by Chapman and Hall/CRC

  2. An Invariant Approach to Statistical Analysis of Shapes

    By Subhash R. Lele, Joan T. Richtsmeier

    Series: Chapman & Hall/CRC Interdisciplinary Statistics

    Natural scientists perceive and classify organisms primarily on the basis of their appearance and structure- their form , defined as that characteristic remaining invariant after translation, rotation, and possibly reflection of the object. The quantitative study of form and form change comprises...

    Published January 19th 2001 by Chapman and Hall/CRC

  3. Essential Statistics, Fourth Edition

    By D.G. Rees

    An introductory text for students taking a first course in statistics-in fields as diverse as engineering, business, chemistry, and biology-Essential Statistics: Fourth Edition thoroughly updates and enhances the hugely successful third edition. It presents new information on modern statistical...

    Published December 26th 2000 by Chapman and Hall/CRC

  4. Statistical Methods for Clinical Trials

    By Mark X. Norleans

    Series: Chapman & Hall/CRC Biostatistics Series

    "Summarizes graphical analysis, analysis of variance, meta-analysis, and design of comparable treatment groups. Streamlines the analytical techniques for continuous, categorical, longitudinal, and survival data-focusing on generalized linear models, GEEs, and mixed linear models, -ahd highlihgts...

    Published November 8th 2000 by CRC Press

  5. Difference Equations with Public Health Applications

    By Lemuel A. Moyé, Asha Seth Kapadia

    Series: Chapman & Hall/CRC Biostatistics Series

    This study of difference equations with public health applications develops the methodology for the solution of the general kth order linear difference equation using the generating function approach. It includes an examination of the dynamics of disease spread and containment in populations using...

    Published September 22nd 2000 by CRC Press

  6. Complex Stochastic Systems

    Edited by O.E. Barndorff-Nielsen, Claudia Kluppelberg

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

    Complex stochastic systems comprises a vast area of research, from modelling specific applications to model fitting, estimation procedures, and computing issues. The exponential growth in computing power over the last two decades has revolutionized statistical analysis and led to rapid developments...

    Published August 9th 2000 by Chapman and Hall/CRC

  7. Drug Synergism and Dose-Effect Data Analysis

    By Ronald J. Tallarida

    Not since this author's bestselling Manual of Pharmacologic Calculation-long out of print-has there been a reference available for drug data analysis, and even that work did not deal with drug combinations. Although pharmacologists and most other scientists know what synergism is, mainstream...

    Published July 21st 2000 by Chapman and Hall/CRC

  8. The Theory of the Design of Experiments

    By D.R. Cox, Nancy Reid

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

    Why study the theory of experiment design? Although it can be useful to know about special designs for specific purposes, experience suggests that a particular design can rarely be used directly. It needs adaptation to accommodate the circumstances of the experiment. Successful designs depend upon...

    Published June 6th 2000 by Chapman and Hall/CRC

  9. Fitting Statistical Distributions

    The Generalized Lambda Distribution and Generalized Bootstrap Methods

    By Zaven A. Karian, Edward J. Dudewicz

    Throughout the physical and social sciences, researchers face the challenge of fitting statistical distributions to their data. Although the study of statistical modelling has made great strides in recent years, the number and variety of distributions to choose from-all with their own formulas,...

    Published May 24th 2000 by Chapman and Hall/CRC

  10. Statistical Modelling with Quantile Functions

    By Warren Gilchrist

    Galton used quantiles more than a hundred years ago in describing data. Tukey and Parzen used them in the 60s and 70s in describing populations. Since then, the authors of many papers, both theoretical and practical, have used various aspects of quantiles in their work. Until now, however, no one...

    Published May 15th 2000 by Chapman and Hall/CRC