Electronic Books

Total Books: 41 - 60 /88

Introductory Statistics with R

R is an Open Source implementation of the S language. It works on multiple computing platforms and can be freely downloaded. ...

Kernel Based Algorithms for Mining Huge Data Sets

"Kernel Based Algorithms for Mining Huge Data Sets" is the first book treating the fields of supervised, semi-supervised ...

Knowledge Discovery in Inductive Databases

This book constitutes the thoroughly refereed joint postproceedings of the 5th International Workshop on Knowledge Discovery ...

Knowledge Discovery in Inductive Databases (vol. # 3933)

The4thInternationalWorkshoponKnowledgeDiscoveryinInductiveDatabases (KDID 2005) was held in Porto, Portugal, on October 3, ...

Linear Models and Generalizations: Least Squares and Alternatives

Thebookisbasedonseveralyearsofexperienceofbothauthorsinteaching linear models at various levels. It gives an up-to-date account ...

Linear and Generalized Linear Mixed Models and Their Applications

This book covers two major classes of mixed effects models—linear mixed models and generalized linear mixed models—and ...

Linear and Generalized Linear Mixed Models and Their Applications

This book covers two major classes of mixed effects models, linear mixed models and generalized linear mixed models, and ...

Mathematics of Uncertainty

Mathematics of Uncertainty" provides the basic ideas and foundations of uncertainty, covering the fields of mathematics ...

Modeling Longitudinal Data

This book teaches the art and statistical science of modern longitudinal data analysis. The author emphasizes specifying, ...

Modeling Uncertainty

Modeling Uncertainty: An Examination of Stochastic Theory, Methods, and Applications, is a volume undertaken by the friends ...

Modelling and Reasoning with Vague Concepts

This volume outlines a formal representation framework for modelling and reasoning with vague concepts in Artificial Intelligence. ...

Modern Econometric Analysis

The importance of empirical economics and econometric methods has greatly in creased during the last 20 years due to the ...

Modern Mathematical Statistics with Applications

This book tries to strike a balance between mathematical foundations and statistical practice. The book provides a clear ...

Monte Carlo Methods in Fuzzy Optimization

This book is a concise and readable introduction to Monte Carlo methods to find good approximate solutions to fuzzy optimization ...

Multivariate Statistical Machine Learning Methods for Genomic Prediction

This book brings together the latest genome base prediction models currently being used by statisticians, breeders and data ...

Neural Networks and Deep Learning / Charu C. Aggarwal

Covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. ...

New Developments in Classification and Data Analysis

This volume contains revised versions of selected papers presented during the biannual meeting of the Classification and ...

New Introduction to Multiple Time Series Analysis

This reference work and graduate level textbook considers a wide range of models and methods for analyzing and forecasting ...

Permutation Methods

This second edition places increased emphasis on the use of alternative permutation statistical tests based on metric Euclidean ...

Principles of Mathematics in Operations Research

Principles of Mathematics in Operations Research is a comprehensive survey of the mathematical concepts and principles of ...

Total Books: 41 - 60 /88