Why study the theory of experiment design? Although it can be useful to know about special designs for specific purposes, …
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Ott and Longnecker's AN INTRODUCTION TO STATISTICAL METHODS AND DATA ANALYSIS, Sixth Edition, provides a broad overview of statistical methods …
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Modern statistics deals with large and complex data sets, and consequently with models containing a large number of parameters. This …
In the Russian edition published in 1989, this book was called "Minimax Algorithms in Problems of Numerical Analysis". The new …
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An Introduction to Object-Oriented Programming with Java takes a full-immersion approach to object-oriented programming. Proper object-oriented design practices are emphasized …
Object-oriented programming is the current cure-all — although it has been around for much more then ten years. At the …
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This book is a revised and updated version, including a substantial portion of new material, of J. D. Cole's text …
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The Handbook of Ordinary Differential Equations: Exact Solutions, Methods, and Problems, is an exceptional and complete reference for scientists and …
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Methods of nonlinear time series analysis are discussed from a dynamical systems perspective on the one hand, and from a …
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In recent years meshless/meshfree methods have gained a considerable attention in engineering and applied mathematics. The variety of problems that …
1. 1 Typical Problems of Data Analysis Every branch of experimental science, after passing through an early stage of qualitative …
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Monoclonal Antibodies: Methods and Protocols examines a collection of state-of-the-art methods that employ monoclonal antibodies in a clinical setting with …
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A Practical Guide to Implementing Nonparametric and Rank-Based Procedures Nonparametric Statistical Methods Using R covers traditional nonparametric methods and rank-based …
