Electronic Books

Total Books: 1 - 20 /109
Advances in Distribution Theory, Order Statistics, and Inference

Barry Arnold has made fundamental contributions to many different areas of statistics, including distribution theory, Bayesian ...

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Advances in Mathematical and Statistical Modeling

Enrique Castillo is a leading figure in several mathematical, statistical, and engineering fields, having contributed seminal ...

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Algorithmic Learning in a Random World

This new monograph integrates mathematical theory and revealing experimental work. It demonstrates mathematically the validity ...

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Algorithms for Approximation ; Proceedings of the 5th International Conference, Chester, July 2005

Approximation methods are vital in many challenging applications of computational science and engineering. This is a collection ...

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All of Nonparametric Statistics

The goal of this text is to provide the reader with a single book where they can find a brief account of many, modern topics ...

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Analysing Ecological Data

This book provides a practical introduction to analysing ecological data using real data sets collected as part of postgraduate ...

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Applied Econometrics with R

This is the first book on applied econometrics using the R system for statistical computing and graphics. It presents hands-on ...

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Applied Probability and Statistics

This text is designed for a one-semester course on Probability and Statistics. The exposition unfolds systematically from ...

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Applied Statistics Using SPSS, STATISTICA, MATLAB and R

The book provides a comprehensive coverage of the main statistical analysis topics important for practical applications such ...

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Artificial Mind System

This book is written from an engineer's perspective of the mind. "Artificial Mind System" exposes the reader to a broad ...

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Bayesian Computation with R : Introduces Bayesian modeling by use of computation using the R language

R's open source nature, free availability, and large number of contributor packages have made R the software of choice for ...

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Bayesian Core: A Practical Approach to Computational Bayesian Statistics

This Bayesian modeling book provides an operational methodology for conducting Bayesian inference, rather than focusing on ...

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Bayesian Reliability

Bayesian Reliability presents modern methods and techniques for analyzing reliability data from a Bayesian perspective. The ...

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Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series

This book discusses the statistical methods most often applied for such adjustments, ranging from ad hoc procedures to regression-based ...

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Biostatistics and Microbiology: A Survival Manual

This book presents a step-by-step manner that eliminates the greatest obstacle to the learner, which is applying the many ...

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Branch-and-Bound Applications in Combinatorial Data Analysis

There are a variety of combinatorial optimization problems that are relevant to the examination of statistical data. Combinatorial ...

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Classical Methods of Statistics

Classical Methods of Statistics is a blend of theory and practical statistical methods written for graduate students and ...

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Cluster Analysis for Data Mining and System Identification

This book presents new approaches to data mining and system identification, and new techniques and tools are presented for ...

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NoIMG
Computational Intelligence Based on Lattice Theory

The emergence of lattice theory within the field of computational intelligence (CI) is partially due to its proven effectiveness ...

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Conducting Quantitative Research In Education

provides a clear and straightforward guide for all those seeking to conduct quantitative research in the field of education, ...

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Total Books: 1 - 20 /109