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