Providing a much-needed bridge between elementary statistics courses and advanced research methods courses, Understanding Advanced Statistical Methods helps students grasp the fundamental assumptions and machinery behind sophisticated statistical topics, such as logistic regression, maximum likelihood, bootstrapping, nonparametrics, and Bayesian methods. The book teaches students how to properly model, think critically, and design their own studies to avoid common errors. It leads them to think differently not only about math and statistics but also about general research and the scientific method. With a focus on statistical models as producers of data, the book enables students to more easily understand the machinery of advanced statistics. It also downplays the "population" interpretation of statistical models and presents Bayesian methods before frequentist ones. Requiring no prior calculus experience, the text employs a "just-in-time" approach that introduces mathematical topics, including calculus, where needed. Formulas throughout the text are used to explain why calculus and probability are essential in statistical modeling. The authors also intuitively explain the theory and logic behind real data analysis, incorporating a range of application examples from the social, economic, biological, medical, physical, and engineering sciences. Enabling your students to answer the why behind statistical methods, this text teaches them how to successfully draw conclusions when the premises are flawed. It empowers them to use advanced statistical methods with confidence and develop their own statistical recipes. Ancillary materials are available on the book's website.
發表於2025-03-06
Understanding Advanced Statistical Methods 2025 pdf epub mobi 電子書 下載
圖書標籤: 統計學 統計 Statistics 數據科學 statistics 數據處理 教材 投資
我見過的最好的統計學導論著作
評分後麵關於假設檢驗的部分寫的很贊。
評分後麵關於假設檢驗的部分寫的很贊。
評分筆記整理中。非常厲害的解釋。
評分筆記整理中。非常厲害的解釋。
Understanding Advanced Statistical Methods 2025 pdf epub mobi 電子書 下載