A Proposed Model for Predicting Financial Loss of Private Conventional and Islamic Banks in Syria رنيم الحصري ؛ رغد الرهونجي ؛ راما الحكواتي ؛ إشراف د. علاء صالحاني
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 mas
Advances in Distribution Theory, Order Statistics, and Inference
Barry Arnold has made fundamental contributions to many different areas of statistics, including distribution theory, Bayesian ...
Lee mas
Advances in Mathematical and Statistical Modeling
Enrique Castillo is a leading figure in several mathematical, statistical, and engineering fields, having contributed seminal ...
Lee mas
Algorithmic Learning in a Random World
This new monograph integrates mathematical theory and revealing experimental work. It demonstrates mathematically the validity ...
Lee mas
Algorithms for Approximation ; Proceedings of the 5th International Conference, Chester, July 2005
Approximation methods are vital in many challenging applications of computational science and engineering. This is a collection ...
Lee mas
Analysing Ecological Data
This book provides a practical introduction to analysing ecological data using real data sets collected as part of postgraduate ...
Lee mas
Applied Probability and Statistics
This text is designed for a one-semester course on Probability and Statistics. The exposition unfolds systematically from ...
Lee mas
Applied Statistics Using SPSS, STATISTICA, MATLAB and R
The book provides a comprehensive coverage of the main statistical analysis topics important for practical applications such ...
Lee mas
Artificial Mind System
This book is written from an engineer's perspective of the mind. "Artificial Mind System" exposes the reader to a broad ...
Lee mas
Bayesian Computation with R : Introduces Bayesian modeling by use of computation using the R language
R's open source nature, free availability, and large number of contributor packages have made R the software of choice for ...
Lee mas
Bayesian Core: A Practical Approach to Computational Bayesian Statistics
This Bayesian modeling book provides an operational methodology for conducting Bayesian inference, rather than focusing on ...
Lee mas
Biostatistics and Microbiology: A Survival Manual
This book presents a step-by-step manner that eliminates the greatest obstacle to the learner, which is applying the many ...
Lee mas
Branch-and-Bound Applications in Combinatorial Data Analysis
There are a variety of combinatorial optimization problems that are relevant to the examination of statistical data. Combinatorial ...
Lee mas
Classical Methods of Statistics
Classical Methods of Statistics is a blend of theory and practical statistical methods written for graduate students and ...
Lee mas
Conducting Quantitative Research In Education
provides a clear and straightforward guide for all those seeking to conduct quantitative research in the field of education, ...
Lee mas
Correlated Data Analysis: Modeling, Analytics, and Applications
Presents some recent developments in correlated data analysis. It utilizes the class of dispersion models as marginal components ...
Lee mas
Data Analysis Using the Method of Least Squares
The preferred method of data analysis of quantitative experiments is the method of least squares. Often, however, the full ...
Lee mas
Data Analysis Using the Method of Least Squares
The preferred method of data analysis of quantitative experiments is the method of least squares. Often, however, the full ...
Lee mas
Dealing with Uncertainties
Dealing with Uncertainties proposes and explains a new approach for the analysis of uncertainties. Firstly, it is shown that ...
Lee mas
Deep Learning for Computational Problems in Hardware Security : Modeling Attacks on Strong Physically Unclonable Function Circuits / Pranesh Santikellur, Rajat Subhra Chakraborty
Discusses a broad overview of traditional machine learning methods and state-of-the-art deep learning practices for hardware ...
Lee mas
