Electronic Books

Total Books: 1 - 20 /89

A Proposed Model for Predicting Financial Loss of Private Conventional and Islamic Banks in Syria رنيم الحصري ؛ رغد الرهونجي ؛ راما الحكواتي ؛ إشراف د. علاء صالحاني

This study aimed to find a model consisting of a set of financial ratios in which each ratio has its own weight that indicate ...

Advances in Distribution Theory, Order Statistics, and Inference

Barry Arnold has made fundamental contributions to many different areas of statistics, including distribution theory, Bayesian ...

Advances in Mathematical and Statistical Modeling

Enrique Castillo is a leading figure in several mathematical, statistical, and engineering fields, having contributed seminal ...

Algorithmic Learning in a Random World

This new monograph integrates mathematical theory and revealing experimental work. It demonstrates mathematically the validity ...

Algorithms for Approximation ; Proceedings of the 5th International Conference, Chester, July 2005

Approximation methods are vital in many challenging applications of computational science and engineering. This is a collection ...

Analysing Ecological Data

This book provides a practical introduction to analysing ecological data using real data sets collected as part of postgraduate ...

Applied Probability and Statistics

This text is designed for a one-semester course on Probability and Statistics. The exposition unfolds systematically from ...

Applied Statistics Using SPSS, STATISTICA, MATLAB and R

The book provides a comprehensive coverage of the main statistical analysis topics important for practical applications such ...

Artificial Mind System

This book is written from an engineer's perspective of the mind. "Artificial Mind System" exposes the reader to a broad ...

Bayesian Computation with R : Introduces Bayesian modeling by use of computation using the R language

R's open source nature, free availability, and large number of contributor packages have made R the software of choice for ...

Bayesian Core: A Practical Approach to Computational Bayesian Statistics

This Bayesian modeling book provides an operational methodology for conducting Bayesian inference, rather than focusing on ...

Biostatistics and Microbiology: A Survival Manual

This book presents a step-by-step manner that eliminates the greatest obstacle to the learner, which is applying the many ...

Branch-and-Bound Applications in Combinatorial Data Analysis

There are a variety of combinatorial optimization problems that are relevant to the examination of statistical data. Combinatorial ...

Classical Methods of Statistics

Classical Methods of Statistics is a blend of theory and practical statistical methods written for graduate students and ...

Conducting Quantitative Research In Education

provides a clear and straightforward guide for all those seeking to conduct quantitative research in the field of education, ...

Correlated Data Analysis: Modeling, Analytics, and Applications

Presents some recent developments in correlated data analysis. It utilizes the class of dispersion models as marginal components ...

Data Analysis Using the Method of Least Squares

The preferred method of data analysis of quantitative experiments is the method of least squares. Often, however, the full ...

Data Analysis Using the Method of Least Squares

The preferred method of data analysis of quantitative experiments is the method of least squares. Often, however, the full ...

Dealing with Uncertainties

Dealing with Uncertainties proposes and explains a new approach for the analysis of uncertainties. Firstly, it is shown that ...

Deep Learning for Computational Problems in Hardware Security : Modeling Attacks on Strong Physically Unclonable Function Circuits / Pranesh Santikellur, Rajat Subhra Chakraborty

Discusses a broad overview of traditional machine learning methods and state-of-the-art deep learning practices for hardware ...

Total Books: 1 - 20 /89