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A guide to testing statistical hypotheses for readers familiar with the Neyman-Pearson theory of hypothesis testing including the notion of power, the...Savoir plus
This volume introduces the theoretical ideas in probability and statistics by means of examples. The strengths of the BASIC computer language are expl...Savoir plus
In 1946 Paul Halmos studied unbiased estimators of minimum variance, and planted the seed from which the subject matter of the present monograph spran...Savoir plus
Explains the role of statistics in improving the quality of collecting and analyzing information for a wide variety of applications. The book examines...Savoir plus
A Text on the Foundation Processes, Analytical Principles, and Implementation Practices of Engineering Risk Management Drawing from the author's many ...Savoir plus
An up-to-date survey of mathematical models of carcinogenesis, providing the most recent findings of cancer biology as evidence of the models, as well...Savoir plus
In this book the authors have assembled the best techniques from a great variety of sources, establishing a benchmark for the field of statistical com...Savoir plus
Priced very competitively compared with other textbooks at this level! This gracefully organized textbook reveals the rigorous theory of probability a...Savoir plus
Written for clinicians and biostatisticians, describes nonparametric and quasiparametric (regression) methods of analyzing survivorship data in clinic...Savoir plus
This monograph is a compilation of research on the inverse Gaussian distribution. It emphasizes the presentation of the statistical properties, method...Savoir plus
Item Response Theory clearly describes the most recently developed IRT models and furnishes detailed explanations of algorithms that can be used to es...Savoir plus
This book focuses on statistical methods useful in quality control, emphasizing on data-analysis and decision-making. These techniques are also of gre...Savoir plus
This monograph is a compilation of research on the inverse Gaussian distribution. It emphasizes the presentation of the statistical properties, method...Savoir plus
This work examines theoretical issues, as well as practical developments in statistical inference related to econometric models and analysis. This wor...Savoir plus
This work details the statistical inference of linear models including parameter estimation, hypothesis testing, confidence intervals, and prediction....Savoir plus
Response Surfaces: Designs and Analyses; Second Edition presents techniques for designing experiments that yield adequate and reliable measurements of...Savoir plus
A selection of articles presented at the Eighth Lukacs Symposium held at the Bowling Green State University, Ohio. They discuss consistency and accura...Savoir plus
Presenting numerous algorithms in a simple algebraic form so that the reader can easilytranslate them into any computer language, this volume gives de...Savoir plus
Response Surfaces: Designs and Analyses; Second Edition presents techniques for designing experiments that yield adequate and reliable measurements of...Savoir plus
Focusing on group sequential procedures, summarizes the sequential statistical methods used in anticancer, antiviral, cardiovascular, and gastrointest...Savoir plus
This book focuses on public health and epidemiologic aspects of cancer, and explores the sources of information concerning the frequency of occurrence...Savoir plus
This book introduces English-speaking people the basic group method of data handling algorithm. It could be used as a reference source for researchers...Savoir plus
The book is written for anyone who wants to design experiments, carry them out, and analyze the results. The authors provide a clear-cut, practical ap...Savoir plus
Aims to provide in-depth descriptions of the latest developments in multiple comparison methods and selection procedures, while emphasizing biometry. ...Savoir plus