| 书目名称 | Examples in Parametric Inference with R | | 编辑 | Ulhas Jayram Dixit | | 视频video | | | 概述 | Exclusively focuses on statistical inference.Presents sophisticated mathematical proofs in a simple and easy-to-follow language.Discusses fundamental topics common to many fields of statistical infere | | 图书封面 |  | | 描述 | .This book discusses examples in parametric inference with R. Combining basic theory with modern approaches, it presents the latest developments and trends in statistical inference for students who do not have an advanced mathematical and statistical background. The topics discussed in the book are fundamental and common to many fields of statistical inference and thus serve as a point of departure for in-depth study. The book is divided into eight chapters: Chapter 1 provides an overview of topics on sufficiency and completeness, while Chapter 2 briefly discusses unbiased estimation. Chapter 3 focuses on the study of moments and maximum likelihood estimators, and Chapter 4 presents bounds for the variance. In Chapter 5, topics on consistent estimator are discussed. Chapter 6 discusses Bayes, while Chapter 7 studies some more powerful tests. Lastly, Chapter 8 examines unbiased and other tests...Senior undergraduate and graduate students in statistics and mathematics, and thosewho have taken an introductory course in probability, will greatly benefit from this book. Students are expected to know matrix algebra, calculus, probability and distribution theory before beginning this cour | | 出版日期 | Textbook 2016 | | 关键词 | Parametric Inference with R; Unbiased Estimation; Likelihood Estimators; Consistent Estimators; Bayes Es | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-10-0889-4 | | isbn_softcover | 978-981-10-9276-3 | | isbn_ebook | 978-981-10-0889-4 | | copyright | Springer Science+Business Media Singapore 2016 |
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发表于 2025-3-21 20:05:20
