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. ...
اقرأ المزيد
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 ...
اقرأ المزيد
Knowledge Discovery in Inductive Databases
This book constitutes the thoroughly refereed joint postproceedings of the 5th International Workshop on Knowledge Discovery ...
اقرأ المزيد
Knowledge Discovery in Inductive Databases (vol. # 3933)
The4thInternationalWorkshoponKnowledgeDiscoveryinInductiveDatabases (KDID 2005) was held in Porto, Portugal, on October 3, ...
اقرأ المزيد
Linear Models and Generalizations: Least Squares and Alternatives
Thebookisbasedonseveralyearsofexperienceofbothauthorsinteaching linear models at various levels. It gives an up-to-date account ...
اقرأ المزيد
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 ...
اقرأ المزيد
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 ...
اقرأ المزيد
Mathematics of Uncertainty
Mathematics of Uncertainty" provides the basic ideas and foundations of uncertainty, covering the fields of mathematics ...
اقرأ المزيد
Modeling Longitudinal Data
This book teaches the art and statistical science of modern longitudinal data analysis. The author emphasizes specifying, ...
اقرأ المزيد
Modeling Uncertainty
Modeling Uncertainty: An Examination of Stochastic Theory, Methods, and Applications, is a volume undertaken by the friends ...
اقرأ المزيد
Modelling and Reasoning with Vague Concepts
This volume outlines a formal representation framework for modelling and reasoning with vague concepts in Artificial Intelligence. ...
اقرأ المزيد
Modern Econometric Analysis
The importance of empirical economics and econometric methods has greatly in creased during the last 20 years due to the ...
اقرأ المزيد
Modern Mathematical Statistics with Applications
This book tries to strike a balance between mathematical foundations and statistical practice. The book provides a clear ...
اقرأ المزيد
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 ...
اقرأ المزيدMultivariate 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 ...
اقرأ المزيد
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. ...
اقرأ المزيد
New Developments in Classification and Data Analysis
This volume contains revised versions of selected papers presented during the biannual meeting of the Classification and ...
اقرأ المزيد
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 ...
اقرأ المزيدNews 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 ...
اقرأ المزيد
Permutation Methods
This second edition places increased emphasis on the use of alternative permutation statistical tests based on metric Euclidean ...
اقرأ المزيد
