This study aimed to find a model consisting of a set of financial ratios in which each ratio has its own weight that indicate ...
Continue readingBarry Arnold has made fundamental contributions to many different areas of statistics, including distribution theory, Bayesian ...
Continue readingEnrique Castillo is a leading figure in several mathematical, statistical, and engineering fields, having contributed seminal ...
Continue readingThis new monograph integrates mathematical theory and revealing experimental work. It demonstrates mathematically the validity ...
Continue readingApproximation methods are vital in many challenging applications of computational science and engineering. This is a collection ...
Continue readingThe goal of this text is to provide the reader with a single book where they can find a brief account of many, modern topics ...
Continue readingThis book provides a practical introduction to analysing ecological data using real data sets collected as part of postgraduate ...
Continue readingThis is the first book on applied econometrics using the R system for statistical computing and graphics. It presents hands-on ...
Continue readingThis text is designed for a one-semester course on Probability and Statistics. The exposition unfolds systematically from ...
Continue readingThe book provides a comprehensive coverage of the main statistical analysis topics important for practical applications such ...
Continue readingThis book is written from an engineer's perspective of the mind. "Artificial Mind System" exposes the reader to a broad ...
Continue readingR's open source nature, free availability, and large number of contributor packages have made R the software of choice for ...
Continue readingThis Bayesian modeling book provides an operational methodology for conducting Bayesian inference, rather than focusing on ...
Continue readingBayesian Reliability presents modern methods and techniques for analyzing reliability data from a Bayesian perspective. The ...
Continue readingThis book discusses the statistical methods most often applied for such adjustments, ranging from ad hoc procedures to regression-based ...
Continue readingThis book presents a step-by-step manner that eliminates the greatest obstacle to the learner, which is applying the many ...
Continue readingThere are a variety of combinatorial optimization problems that are relevant to the examination of statistical data. Combinatorial ...
Continue readingClassical Methods of Statistics is a blend of theory and practical statistical methods written for graduate students and ...
Continue readingThis book presents new approaches to data mining and system identification, and new techniques and tools are presented for ...
Continue readingThe emergence of lattice theory within the field of computational intelligence (CI) is partially due to its proven effectiveness ...
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