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