Linear Models and Generalizations: Least Squares and Alternatives
Thebookisbasedonseveralyearsofexperienceofbothauthorsinteaching linear models at various levels. It gives an up-to-date account ...
Lee mas
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 ...
Lee mas
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 ...
Lee masMachine 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, ...
Lee mas
Mathematics of Uncertainty
Mathematics of Uncertainty" provides the basic ideas and foundations of uncertainty, covering the fields of mathematics ...
Lee mas
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 ...
Lee mas
Modeling Longitudinal Data
This book teaches the art and statistical science of modern longitudinal data analysis. The author emphasizes specifying, ...
Lee mas
Modeling Uncertainty
Modeling Uncertainty: An Examination of Stochastic Theory, Methods, and Applications, is a volume undertaken by the friends ...
Lee mas
Modelling and Reasoning with Vague Concepts
This volume outlines a formal representation framework for modelling and reasoning with vague concepts in Artificial Intelligence. ...
Lee mas
Modern Econometric Analysis
The importance of empirical economics and econometric methods has greatly in creased during the last 20 years due to the ...
Lee mas
Modern Mathematical Statistics with Applications
This book tries to strike a balance between mathematical foundations and statistical practice. The book provides a clear ...
Lee mas
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 ...
Lee mas
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 ...
Lee masMultivariate 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 ...
Lee mas
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. ...
Lee mas
New Developments in Classification and Data Analysis
This volume contains revised versions of selected papers presented during the biannual meeting of the Classification and ...
Lee mas
New Frontiers in Angiogenesis
New Frontiers in Angiogenesis starts with a comprehensive overview of the field and continues with topics that have been ...
Lee mas
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 ...
Lee mas
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, ...
Lee mas
Permutation Methods
This second edition places increased emphasis on the use of alternative permutation statistical tests based on metric Euclidean ...
Lee mas
