Sharmishtha Kulkarni Ph D

Statistical Inference Sharmishtha Kulkarni Ph D

The book provides an insight into elementary inferential statistical methodologies including point estimation, interval estimation, and parametric and nonparametric tests. With a substantial emphasis on conceptual knowledge, the book provides working methodologies with sufficient number of illustrative examplesThis book focuses on the meaning of statistical inference on point estimation. Statistical inference is concerned with the problems of estimation of population parameters and testing hypotheses. Primarily aimed at undergraduate and postgraduate students of statistics, the book is also useful to professionals and researchers in statistical, medical, social and other disciplines. It discusses current methodological techniques used in statistics and related interdisciplinary areas. The book will help readers to discover diverse perspectives of statistical theory followed by relevant worked-out practical examples. Keeping in mind the needs of readers, as well as constantly changing scenarios, the material is presented in an easy-to-understand form. This book offers an accessible and comprehensive overview of statistical estimation and inference that reflects current trends in statistical research. It draws from three main themes throughout: the concepts of point estimation and properties of point estimation as unbiasedness, consistency, sufficiency, relative efficiency. They also utilize a standardized set of assumptions and tools throughout, imposing regular conditions and resulting in a more coherent and cohesive volume. Written for the graduate-level audience, this text can be used in a one-semester or two-semester course. KEY FEATURES1. Easy to understand, completely solved Problems of point estimation and its properties 2. Provides of clarification for number of steps in the proof of theorems and related results 3. Includes numerous solved examples to illustrate the application of theorems and results4. It improves the analytical insights of respondentsEvery concept is supported with relevant research examples to help readers to find the most suitable application