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. ...
Lee mas
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 ...
Lee mas
Knowledge Discovery in Inductive Databases
This book constitutes the thoroughly refereed joint postproceedings of the 5th International Workshop on Knowledge Discovery ...
Lee mas
Knowledge Discovery in Inductive Databases (vol. # 3933)
The4thInternationalWorkshoponKnowledgeDiscoveryinInductiveDatabases (KDID 2005) was held in Porto, Portugal, on October 3, ...
Lee mas
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 mas
Mathematics of Uncertainty
Mathematics of Uncertainty" provides the basic ideas and foundations of uncertainty, covering the fields of mathematics ...
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
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 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 masNews Bot / Bashar Kadi , Bashar Al Fandi and Majdy Al Bunny ; supervised by Nada Ghniem بشار خالد قاضي ، بشار مصطفى الفندي و مجدي البني ؛ إشراف ندى غنيم
The process of gathering and organizing news content has become a challenging task for emerging news sites, necessitating ...
Lee mas
Permutation Methods
This second edition places increased emphasis on the use of alternative permutation statistical tests based on metric Euclidean ...
Lee mas
