This study aimed to find a model consisting of a set of financial ratios in which each ratio has its own weight that indicate ...
Lire la suiteBarry Arnold has made fundamental contributions to many different areas of statistics, including distribution theory, Bayesian ...
Lire la suiteEnrique Castillo is a leading figure in several mathematical, statistical, and engineering fields, having contributed seminal ...
Lire la suiteThis new monograph integrates mathematical theory and revealing experimental work. It demonstrates mathematically the validity ...
Lire la suiteApproximation methods are vital in many challenging applications of computational science and engineering. This is a collection ...
Lire la suiteThis book provides a practical introduction to analysing ecological data using real data sets collected as part of postgraduate ...
Lire la suiteThis text is designed for a one-semester course on Probability and Statistics. The exposition unfolds systematically from ...
Lire la suiteThe book provides a comprehensive coverage of the main statistical analysis topics important for practical applications such ...
Lire la suiteThis book is written from an engineer's perspective of the mind. "Artificial Mind System" exposes the reader to a broad ...
Lire la suiteR's open source nature, free availability, and large number of contributor packages have made R the software of choice for ...
Lire la suiteThis Bayesian modeling book provides an operational methodology for conducting Bayesian inference, rather than focusing on ...
Lire la suiteThis book presents a step-by-step manner that eliminates the greatest obstacle to the learner, which is applying the many ...
Lire la suiteThere are a variety of combinatorial optimization problems that are relevant to the examination of statistical data. Combinatorial ...
Lire la suiteClassical Methods of Statistics is a blend of theory and practical statistical methods written for graduate students and ...
Lire la suiteprovides a clear and straightforward guide for all those seeking to conduct quantitative research in the field of education, ...
Lire la suitePresents some recent developments in correlated data analysis. It utilizes the class of dispersion models as marginal components ...
Lire la suiteThe preferred method of data analysis of quantitative experiments is the method of least squares. Often, however, the full ...
Lire la suiteThe preferred method of data analysis of quantitative experiments is the method of least squares. Often, however, the full ...
Lire la suiteDealing with Uncertainties proposes and explains a new approach for the analysis of uncertainties. Firstly, it is shown that ...
Lire la suiteDiscusses a broad overview of traditional machine learning methods and state-of-the-art deep learning practices for hardware ...
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