While there are many excellent textbooks and reference books covering the chemistry, physics, rheology, processing, and characterization of polymers, this textbook is the first treatment in one place of the modeling and simulation of polymerization reactions. This is the very model of a textbook; not only is it single-authored, but also it comes with chapter introductions, chapter summaries, worked examples, exercises, and many references to the literature. In addition, this book will serve as...
Mathematical Foundations of Game Theory (Universitext)
by Rida Laraki, Jerome Renault, and Sylvain Sorin
Contains fully worked-out solutions to selected exercises in the text, giving students a way to check their answers and ensure that they took the correct steps to arrive at an answer.
Application of Queuing Theory in Hospitals
by Olukunle Daniel Ogunwale
Invariant Measures on Groups and Their Use in Statistics (Lecture Notes-Monograph, #14)
by Robert A Wijsman
Recently, interacting particle systems have been studied widely from the standpoints of mathematics, physics, chemistry and biology. Many researchers are becoming interested in this field.This book focuses on the phase transitions of interacting particle systems, especially their critical values and order parameters. It poses the following question: How can we get good bounds on the critical values and the order parameters? This question is very basic, and many researchers have been trying to ge...
Multivariate Data Analysis (Irwin Series in Management and the Behavioral Sciences)
by Barbara B. Jackson and Barbara Bund
This book provides methods and applications of latent class analysis, and the following topics are taken up in the focus of discussion: basic latent structure models in a framework of generalized linear models, exploratory latent class analysis, latent class analysis with ordered latent classes, a latent class model approach for analyzing learning structures, the latent Markov analysis for longitudinal data, and path analysis with latent class models. The maximum likelihood estimation procedures...
Basic Business Statistics, with SPSS PC+ Studentware+ 5.25
by Mark L Berenson and David M. Levine
Malliavin Calculus and Stochastic Analysis: A Festschrift in Honor of David Nualart (Springer Proceedings in Mathematics & Statistics)
by Frederi Viens, Jin Feng, and Yaozhong Hu
Methoden Der Statistik (Studienbucher Wirtschaftsmathematik) (Studienb cher Wirtschaftsmathematik)
by Michael Krapp
This book emphasizes the use of stochastic orders as motivational tools for developing new statistical procedures. Stochastic orders have found useful applications in many disciplines, including reliability theory, survival analysis, risk theory, finance, nonparametric methods, economics and actuarial science. Written by a statistician, this volume clarifies the connection between stochastic orders and nonparametric methods. The importance of order statistics and spacings is well recognized. C...
The success of the first edition of Generalized Linear Models led to the updated Second Edition, which continues to provide a definitive unified, treatment of methods for the analysis of diverse types of data. Today, it remains popular for its clarity, richness of content and direct relevance to agricultural, biological, health, engineering, and ot
Stochastic Global Optimization (Springer Optimization and Its Applications, #9)
by Anatoly Zhigljavsky and Antanasz Zilinskas
This book examines the main methodological and theoretical developments in stochastic global optimization. It is designed to inspire readers to explore various stochastic methods of global optimization by clearly explaining the main methodological principles and features of the methods. Among the book’s features is a comprehensive study of probabilistic and statistical models underlying the stochastic optimization algorithms.
The 2009 World Forecasts of Floor Coverings on a Base of Paper or Paperboard Export Supplies
by Philip M. Parker
This book presents Bayes' theorem, the estimation of unknown parameters, the determination of confidence regions and the derivation of tests of hypotheses for the unknown parameters. It does so in a simple manner that is easy to comprehend. The book compares traditional and Bayesian methods with the rules of probability presented in a logical way allowing an intuitive understanding of random variables and their probability distributions to be formed.
