MODERN STATISTICS FOR MODERN BIOLOGY

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序言 If you are a biologist and want to get the best out of the powerful methods of modern computational statistics, this is your book. You can visualize and analyze your own data, apply unsupervised and supervised learning, integrate datasets, apply hypothesis testing, and make publication-quality figures using the power of R/Bioconductor and ggplot2. This book will teach you 'cooking from scratch', from raw data to beautiful illuminating output, as you learn to write your own scripts in the R language and to use advanced statistics packages from CRAN and Bioconductor. It covers a broad range of basic and advanced topics important in the analysis of high-throughput biological data, including principal component analysis and multidimensional scaling, clustering, multiple testing, unsupervised and supervised learning, resampling, the pitfalls of experimental design, and power simulations using Monte Carlo, and it even reaches networks, trees, spatial statistics, image data, and microbial ecology. Using a minimum of mathematical notation, it builds understanding from well-chosen examples, simulation, visualization, and above all hands-on interaction with data and code. 特色 ●Introduces methods on a 'need to know' basis, so students tackle biological questions immediately and understand motivation for the methods ●Contains real-life examples done from scratch, guiding students through realistic complexities and building practical intuition ●Includes a wrap-up chapter that explains the complete workflow from design of experiments to analysis of results, identifying common pitfalls with big data 作者簡介 Susan Holmes is Professor of Statistics at Stanford University, California. She specializes in exploring and visualizing multidomain biological data, using computational statistics to draw inferences in microbiology, immunology and cancer biology. She has published over 100 research papers, and has been a key developer of software for the multivariate analyses of complex heterogeneous data. She was the Breiman Lecturer at NIPS 2016, has been named a Fields Institute fellow, and is currently a fellow at the Center for the Advances Study of the Behavioral Sciences. Wolfgang Huber is Research Group Leader and Senior Scientist at the European Molecular Biological Laboratory, where he develops computational methods for new biotechnologies and applies them to biological discovery. He has published over 150 research papers in functional genomics, cancer and statistical methods. He is a founding member of the open-source bioinformatics software collaboration Bioconductor and has co-authored two books on Bioconductor. 目錄 1. Generative models for discrete data 2. Statistical modeling 3. High-quality graphics in R 4. Mixture models 5. Clustering 6. Testing 7. Multivariate analysis 8. High-throughput count data 9. Multivariate methods for heterogeneous data 10. Networks and trees 11. Image data 12. Supervised learning 13. Design of high-throughput experiments and their analyses Statistical concordance

工程統計(Lapin：Modern Engineering Statistics) (1版)

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作(編/譯)者 : 潘南飛‧溫志中 編譯 出版年份 : 2021 ISBN : 9789579282949 類別 : 工程統計 書號 : 3506A1 幾色 : 1 規格 : 16 發行公司 : 高立 版權日期 : 2023/06/01 頁數 : 536 分別 : 授權書 本書符合了教學者與學習者的雙向需求，清楚扼要地介紹工程統計基本觀念及原理，並輔以生動豐富的工程專業應用的例 (習) 題來說明統計分析方法，使主修工程的學生能充分掌握如何將統計學應用在工程專業領域上，是一部不可多得的教科書。 目錄 第一章　緒　論 第二章　統計資料之描述、陳示及探討 第三章　機　率 第四章　隨機變數與機率分配 第五章　連續隨機變數與機率分配 第六章　抽樣分配 第七章　估　計 第八章　統計檢定 第九章　變異數分析 第十章　迴歸分析與預測 第十一章　實驗設計 第十二章　統計製程管理 附錄 A　統計表 參考書目 英中文對照

Essentials of Modern Business Statistics with Microsoft Office Excel (7版)

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【簡介】 Introduce business statistics using the text that has lead the market for three decades. ESSENTIALS OF MODERN BUSINESS STATISTICS, 7E integrates Microsoft Excel 2016 as the authors blend a conceptual understanding of statistics with real application of statistical methodology. Renowned for high-quality problems, this author team offers unwavering accuracy and a signature problem-scenario approach that illustrates how to apply statistical methods in business. Step-by-step instructions and screen captures show how to use the latest version of Excel in statistical procedures. Eleven all-new Case Problems, Statistics in Practice applications, real data examples and exercises as well as more 【目錄】 1. Data and Statistics. 2. Descriptive Statistics: Tabular and Graphical Displays. 3. Descriptive Statistics: Numerical Measures. 4. Introduction to Probability. 5. Discrete Probability Distributions. 6. Continuous Probability Distributions. 7. Sampling and Sampling Distributions. 8. Interval Estimation. 9. Hypothesis Tests. 10. Inferences About Means and Proportions with Two Populations. 11. Inferences About Population Variances. 12. Test of Goodness of Fit, Independence, and Multiple Proportions. 13. Experimental Design and Analysis of Variance. 14. Simple Linear Regression. 15. Multiple Regression. Appendix A: References and Bibliography. Appendix B: Tables. Appendix C: Summation Notation. Appendix D: Self-Test Solutions and Answers to Even-Numbered Exercises (online). Appendix E: Microsoft Excel 2016 and Tools for Statistical Analysis.

Managerial Statistics Taiwan Edition (含Modern Business Statistics為套書，恕不分售）

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