Carl B. Boyer, (deceased) (Brooklyn College),
(Revised by Uta C. Merzbach, LHM Institute)
A History of Mathematics, 2nd Ed.
ISBN: 0-471-54397-7
Paperback
Published: Mar 1991
Copyright: 1989
Presupposes a knowledge of college level mathematics but is accessible to the average reader through its consistent treatment of mathematical structure with a strict adherence to historical perspective and detail. The material is arranged chronologically beginning with archaic origins and covers Egyptian, Mesopotamian, Greek, Chinese, Indian, Arabic and European contributions done to the nineteenth century and present day. There are revised references and bibliographies and revised and expanded chapters on the
nineteeth and twentieth centuries.
William E. Boyce (Rensselaer Polytechnic Institute)
Richard C. DiPrima (Rensselaer Polytechnic Institute)
Elementary Differential Equations, 7th Ed.
ISBN: 0-471-31998-8
Hardcover
Projected Pub Date: Jul 2000
Copyright: 2001
Contents
First Order Differential Equations.
Second Order Linear Equations.
Higher Order Linear Equations.
Series Solutions of Second Order Linear Equations.
The Laplace Transform.
Systems of First Order Linear Equations.
Numerical Methods.
Nonlinear Differential Equations and Stability.
Answers to Problems.
Index.
Keay Davidson
Carl Sagan: A Life
ISBN: 0-471-39536-6
Paperback
Projected Pub Date: Sep 2000
Copyright: 1999
Carl Sagan was one of the most celebrated scientists of this century, the handsome and alluring visionary who inspired a generation to look to the heavens and beyond. His life was both an intellectual feast and an emotional rollercoaster. Based on interviews with Sagan's family and friends, including his widow, Ann Druyan; his first wife, acclaimed scientist Lynn Margulis; and his three sons, as well as exclusive access to many personal papers, this captivating life story offers remarkable insight into one of the most influential,
provocative, and beloved figures of our time complex, contradictory prophet of the Space Age.
Keay Davidson (San Francisco, CA) is a science reporter for the San Francisco Examiner and has written feature articles for National Geographic and New Scientist.
David W. Hosmer Jr. (Univ. of Massachusetts)
Stanley Lemeshow (The Ohio State Univ.)
Applied Logistic Regression , 2nd Ed.
ISBN: 0-471-35632-8
Hardcover
Projected Pub Date: Aug 2000
Copyright: 2001
Series Title: Wiley Series in Probability and Statistics: Texts and References Section
The logistic regression (LR) model has been in use in statistical analyses for many years; but it was not until the late 1960's that a model was used to provide a multivariate analysis of the Framingham heart study data that its full power and applicability were totally appreciated. Since then the LR model has become the standard method for regression analysis of dichotomous data in many fields, especially in the health sciences. This new and updated edition of the classic bestseller provides a focused introduction to the LR
model and its use in methods for modeling the relationship between a dichotomous outcome variable and a set of covariables.
Contents
Introduction to the Logistic Regression Model.
The Multiple Logistic Regression Model.
Interpretation of the Coefficients of the Logistic Regression Model.
Model-Building Strategies and Methods for Logistic Regression.
Assessing the Fit of the Model.
Application of Logistic Regression with Different Sampling Models.
Logistic Regression for Matched Case-Control Studies.
Special Topics.
References.
Index.
Hosam M. Mahmoud (George Washington Univ., Washington, D.C.)
Sorting: A Distribution Theory
ISBN: 0-471-32710-7
Hardcover
Projected Pub Date: Aug 2000
Copyright: 2000
A cutting-edge look at the emerging distributional theory of sorting
Research on distributions associated with sorting algorithms has grown dramatically over the last few decades, spawning many exact and limiting distributions of complexity measures for many sorting algorithms. Yet much of this information has been scattered in disparate and highly specialized sources throughout the literature. In Sorting: A Distribution Theory, leading authority Hosam Mahmoud compiles, consolidates, and clarifies the large volume of available research, providing a much-needed, comprehensive treatment of the entire emerging distributional theory of sorting.
Mahmoud carefully constructs a logical framework for the analysis of all standard sorting algorithms, focusing on the development of the probability distributions associated with the algorithms, as well as other issues in probability theory such as measures of concentration and rates of convergence. With an emphasis on narrative rather than technical explanations, this exceptionally well-written book makes new results easily accessible to a broad spectrum of readers, including computer professionals, scientists, mathematicians, and engineers. Sorting: A Distribution Theory: Contains introductory material on complete and partial sorting
Explains insertion sort, quick sort, and merge sort, among other methods Offers verbal descriptions of the mechanics of the algorithms as well as the necessary code Illustrates the distribution theory of sorting using a broad array of both classical and modern techniques Features a variety of end-of-chapter exercises
Series Title:
Wiley-Interscience Series in Discrete Mathematics
George C. Tiao (Univ. of Chicago) /Soren Bisgaard (Univ. of St. Gallen, Switzerland)
William Hill (Honeywell International, Buffalo, New York) /Daniel Pena (Univ. Carols III de Madrid, Spain)
Stephen Sigler (Univ. of Chicago)
Box on Quality and Discovery:
With Design, Control, and Robustness
ISBN: 0-471-38768-1
Hardcover
Projected Pub Date: Aug 2000
Copyright: 2001
A collection of masterworks on quality technology from the giant in the field
The chapters of this book are from the recent writings of George E. P. Box, an acknowledged world leader in the application and theory of quality methodology to management, process improvement, process design, and discovery.
Box's unique ability to explain complex ideas simply and appealingly with wit and cogent illustration is well known. It draws on profound knowledge and extensive industrial experience. In the past, these abilities have led to the creation of such techniques as response surface methods, time series analysis for forecasting and control, evolutionary operation, and applied Bayesian methods.
Over the past fifteen years, Box's work with many distinguished colleagues has been directed to the development and better understanding of quality techniques and how they can drive creativity and discovery. Key features of Box on Quality and Discovery include: Five separate sections on (I) management issues, (II) experimental design, (III) sequential investigation for discovery, (IV) process control for monitoring and feedback adjustment, and (V) reduction of variation and design of robust products and processes
Edited by five eminent quality practitioners and statisticians from industry and academia Superb subject and author index for easy reference An additional key contribution from Stu Hunter
Published in celebration of George Box's 80th birthday, this incomparable volume is destined to remain the definitive reference on statistical quality for many years to come.
Series Title:
Wiley Series in Probability and Statistics: Texts and References Section