Electronic Books

Total Books: 1 - 20 /89

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Total Books: 1 - 20 /89