Essentials Of Probability Theory For Statisticians Pdf
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Essentials of Probability Theory for Statisticians
Essentials of Probability Theory for Statisticians provides graduate students with a rigorous treatment of probability theory, with an emphasis on results central to theoretical statistics. It presents classical probability theory motivated with illustrative examples in biostatistics, such as outlier tests, monitoring clinical trials, and using adaptive methods to make design changes based on accumulating data. The authors explain different methods of proofs and show how they are useful for establishing classic probability results. After building a foundation in probability, the text intersperses examples that make seemingly esoteric mathematical constructs more intuitive. These examples elucidate essential elements in definitions and conditions in theorems. In addition, counterexamples further clarify nuances in meaning and expose common fallacies in logic. This text encourages students in statistics and biostatistics to think carefully about probability. It gives them the rigorous foundation necessary to provide valid proofs and avoid paradoxes and nonsensical conclusions.
Statistics and Data Analysis Essentials
"Statistics and Data Analysis Essentials" is a comprehensive guide that helps readers master statistical concepts and their practical applications. Crafted by experts, this textbook combines clear explanations, real-world examples, and engaging exercises to enhance learning. We cover a broad spectrum of topics, including descriptive statistics, inferential statistics, regression analysis, and hypothesis testing, making each section accessible to learners of all levels. Real-life case studies from diverse fields such as economics, psychology, biology, and engineering demonstrate the relevance of statistical methods. Each chapter offers exercises from basic calculations to complex data analysis tasks, helping readers practice and solidify their skills. A detailed glossary provides clear definitions of key statistical terms, and additional resources, including datasets and software tutorials, are available to further support the learning experience. "Statistics and Data Analysis Essentials" is ideal for undergraduate and graduate students, as well as professionals and researchers looking to enhance their statistical expertise for practical applications.
Essentials of Econometrics
Author: Damodar N. Gujarati
language: en
Publisher: SAGE Publications
Release Date: 2021-08-23
This updated Fifth Edition of Damodar N. Gujarati′s classic text provides a user-friendly overview of the basics of econometric theory from ordinal logistic regression to time series. Acclaimed for its accessibility, brevity, and logical organization, the book helps beginning students understand econometric techniques through extensive examples (many new to this edition), careful explanations, and a wide array of chapter-ending questions and problems. Major developments in the field are covered in an intuitive and informative way without resorting to matrix algebra, calculus, or statistics beyond the introductory level. A companion website for the book includes resources for both instructors and students. Further details are on the Resources tab above.