買這商品的人也買了...
-
$620$527 -
$680$537 -
$600$474 -
$680$537 -
$620$484 -
$400$316 -
$450$315 -
$780$616 -
$360$284 -
$450$356 -
$780$616 -
$296PostgreSQL 即學即用, 2/e (PostgreSQL: Up and Running: A Practical Introduction to the Advanced Open Source Database, 2/e)
-
$352Python 資料分析與挖掘實戰
-
$1,600$1,600 -
$505基於R語言的自動資料收集:網絡抓取和文本挖掘實用指南 (Automated Data Collection with R)
-
$580$458 -
$580$458 -
$680$537 -
$350$277 -
$560$437 -
$480$379 -
$680$530 -
$699$552 -
$650$507 -
$520$411
商品描述
This is today’s most complete guide to regression analysis with Microsoft® Excel for any business analytics or research task. Drawing on 25 years of advanced statistical experience, Microsoft MVP Conrad Carlberg shows how to use Excel’s regression-related worksheet functions to perform a wide spectrum of practical analyses.
Carlberg clearly explains all the theory you’ll need to avoid mistakes, understand what your regressions are really doing, and evaluate analyses performed by others. From simple correlations and t-tests through multiple analysis of covariance, Carlberg offers hands-on, step-by-step walkthroughs using meaningful examples.
He discusses the consequences of using each option and argument, points out idiosyncrasies and controversies associated with Excel’s regression functions, and shows how to use them reliably in fields ranging from medical research to financial analysis to operations.
You don’t need expensive software or a doctorate in statistics to work with regression analyses. Microsoft Excel has all the tools you need—and this book has all the knowledge!
- Understand what regression analysis can and can’t do, and why
- Master regression-based functions built into all recent versions of Excel
- Work with correlation and simple regression
- Make the most of Excel’s improved LINEST() function
- Plan and perform multiple regression
- Distinguish the assumptions that matter from the ones that don’t
- Extend your analysis options by using regression instead of traditional analysis of variance
- Add covariates to your analysis to reduce bias and increase statistical power
商品描述(中文翻譯)
這是今天最完整的 Microsoft® Excel 回歸分析指南,適用於任何商業分析或研究任務。根據 25 年的高級統計經驗,Microsoft MVP Conrad Carlberg 展示了如何使用 Excel 的回歸相關工作表函數來執行各種實用的分析。
Carlberg 清楚地解釋了您需要的所有理論,以避免錯誤,理解您的回歸分析實際上在做什麼,以及評估他人所執行的分析。從簡單的相關性和 t 檢定到多重共變量分析,Carlberg 提供了實用的逐步指導,並使用有意義的範例。
他討論了使用每個選項和參數的後果,指出與 Excel 的回歸函數相關的特異性和爭議,並展示了如何在醫學研究、財務分析到運營等領域可靠地使用它們。
您不需要昂貴的軟體或統計學博士學位來進行回歸分析。Microsoft Excel 擁有您所需的所有工具,而這本書則擁有所有的知識!
- 了解回歸分析能做什麼和不能做什麼,以及為什麼
- 精通所有近期版本 Excel 中內建的基於回歸的函數
- 使用相關性和簡單回歸進行工作
- 充分利用 Excel 改進的 LINEST() 函數
- 計劃和執行多重回歸
- 區分重要的假設與不重要的假設
- 通過使用回歸來擴展您的分析選項,而不是傳統的變異數分析
- 在您的分析中添加協變量,以減少偏差並提高統計效能