Statistical methodology and result interpretation/ Isabel Young

Includes bibliographical references and index

Application of the h-principle of mathematical modelling -- A statistic method for anatomical and evolutionary analysis -- Why the descision-theoretic perspective misrepresents frequentist interface: revisiting stin's paradox and asmissibility -- Gamma-kumaraswamy distribution in reliabiliy analysis: properties and applications -- A practicle approach to evaluting thr economic and technical feasibility of LED luminaires -- Information-theoretic clustering and algorithms -- Distributions and composite models for size type data -- A comparison study on performance of an adaptive filter with other estimation methods for state estimation in high-Dimensional system -- Nonlinear transformation and radar detector design -- Validation of instrument measuring continuous variable in medicine -- Signal optimal smoothing by means of special analysis

Statistics is a group of methods by which data is collected, organized and analyzed, and then its characteristics are interpreted and presented. Regression, mean, standard deviation, sample size determination and hypothesis testing are some of the methods used in statistical analysis. Statistics is applied in a large number of fields such as machine learning and data mining, statistical computing, business statistics, etc. From theories to research to practical applications, case studies related to all contemporary topics of relevance to to this field have been included in this book. It discusses the fundamentals as well as modern approaches of statistical methodologies. As this field is emerging at a rapid pace, the contents of this book will help the readers understand the modern concepts and applications of the subject.