Electronic Books

Total Books: 61 - 80 /125
Linear Models and Generalizations: Least Squares and Alternatives

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

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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 ...

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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 ...

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NoIMG
Machine Learning for Data Streams: with Practical Examples in MOA

The book first offers a brief introduction to the topic, covering big data mining, basic methodologies for mining data streams, ...

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Mathematics of Uncertainty

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

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Metric Driven Design Verification

A metric based flow is described that focuses on the four steps of: 1. Planning: Defining what needs to be done and the automatically ...

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Modeling Longitudinal Data

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

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Modeling Uncertainty

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

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Modelling and Reasoning with Vague Concepts

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

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Modern Econometric Analysis

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

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Modern Mathematical Statistics with Applications

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

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Modern Multivariate Statistical Techniques : Regression, Classification, and Manifold Learning

Remarkable advances in computation and data storage and the ready availability of huge data sets have been the keys to the ...

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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 ...

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NoIMG
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 ...

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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. ...

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New Developments in Classification and Data Analysis

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

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New Frontiers in Angiogenesis

New Frontiers in Angiogenesis starts with a comprehensive overview of the field and continues with topics that have been ...

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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 ...

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Numerical Methods Using Java : For Data Science, Analysis, and Engineering / Haksun Li

Covers a wide range of topics, including chapters on linear algebra, root finding, curve fitting, differentiation and integration, ...

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Permutation Methods

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

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Total Books: 61 - 80 /125