Introductory Applied Statistics: With Resampling Methods & R
Blaine, Bruce
- 出版商: Springer
- 出版日期: 2024-05-07
- 售價: $3,310
- 貴賓價: 9.5 折 $3,145
- 語言: 英文
- 頁數: 190
- 裝訂: Quality Paper - also called trade paper
- ISBN: 3031277430
- ISBN-13: 9783031277436
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相關分類:
機率統計學 Probability-and-statistics
海外代購書籍(需單獨結帳)
相關主題
商品描述
This book offers an introduction to applied statistics through data analysis, integrating statistical computing methods. It covers robust and non-robust descriptive statistics used in each of four bivariate statistical models that are commonly used in research: ANOVA, proportions, regression, and logistic. The text teaches statistical inference principles using resampling methods (such as randomization and bootstrapping), covering methods for hypothesis testing and parameter estimation. These methods are applied to each statistical model introduced in preceding chapters.
Data analytic examples are used to teach statistical concepts throughout, and students are introduced to the R packages and functions required for basic data analysis in each of the four models. The text also includes introductory guidance to the fundamentals of data wrangling, as well as examples of write-ups so that students can learn how to communicate findings. Each chapter includes problems forpractice or assessment. Supplemental instructional videos are also available as an additional aid to instructors, or as a general resource to students.
This book is intended for an introductory or basic statistics course with an applied focus, or an introductory analytics course, at the undergraduate level in a two-year or four-year institution. This can be used for students with a variety of disciplinary backgrounds, from business, to the social sciences, to medicine. No sophisticated mathematical background is required.
Data analytic examples are used to teach statistical concepts throughout, and students are introduced to the R packages and functions required for basic data analysis in each of the four models. The text also includes introductory guidance to the fundamentals of data wrangling, as well as examples of write-ups so that students can learn how to communicate findings. Each chapter includes problems forpractice or assessment. Supplemental instructional videos are also available as an additional aid to instructors, or as a general resource to students.
This book is intended for an introductory or basic statistics course with an applied focus, or an introductory analytics course, at the undergraduate level in a two-year or four-year institution. This can be used for students with a variety of disciplinary backgrounds, from business, to the social sciences, to medicine. No sophisticated mathematical background is required.
商品描述(中文翻譯)
這本書通過數據分析提供了應用統計學的介紹,並整合了統計計算方法。它涵蓋了在研究中常用的四種雙變量統計模型中使用的魯棒和非魯棒的描述統計方法:ANOVA、比例、回歸和邏輯。本書使用重抽樣方法(如隨機化和自助法)教授統計推斷原則,涵蓋了假設檢驗和參數估計的方法。這些方法應用於前面章節介紹的每個統計模型中。
數據分析示例用於在整個過程中教授統計概念,並且學生將介紹在每個模型中進行基本數據分析所需的R包和函數。本書還包括對數據整理基礎的入門指導,以及撰寫報告的示例,以便學生學習如何傳達研究結果。每章都包含練習或評估問題。此外,還提供了補充教學視頻,作為教師的輔助資源,或學生的一般資源。
本書適用於大學本科水平的應用統計學入門課程或基礎統計學課程,也適用於兩年制或四年制學院。學生的學科背景可以是商業、社會科學或醫學等各種領域。不需要複雜的數學背景知識。
作者簡介
Bruce Blaine is Senior Lecturer in the Statistics Program at the University of Rochester. He is also an accredited Professional Statistician (PStat) through the American Statistical Association. Dr. Blaine's research interests include quantitative methods in the social sciences, meta-analysis, robust and nonparametric statistical methods, and R computing in data analysis.
作者簡介(中文翻譯)
布魯斯·布萊恩(Bruce Blaine)是羅徹斯特大學統計學計劃的高級講師。他也是美國統計學會認證的專業統計學家(PStat)。布萊恩博士的研究興趣包括社會科學中的量化方法、元分析、強健和非參數統計方法,以及在數據分析中使用R計算。