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Titlebook: Quantitative Methods for Management; A Practical Approach Miguel ángel Canela,Inés Alegre,Alberto Ibarra Textbook 2019 Springer Nature Swit

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發(fā)表于 2025-3-21 17:13:23 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Quantitative Methods for Management
副標(biāo)題A Practical Approach
編輯Miguel ángel Canela,Inés Alegre,Alberto Ibarra
視頻videohttp://file.papertrans.cn/781/780904/780904.mp4
概述Presents a comprehensive yet accessible introduction to quantitative methods in management.Is based on a practical approach to the subject, with each lesson demonstrated in a real-world case study.Pro
圖書封面Titlebook: Quantitative Methods for Management; A Practical Approach Miguel ángel Canela,Inés Alegre,Alberto Ibarra Textbook 2019 Springer Nature Swit
描述.This book focuses on the use of quantitative methods for both business and management, helping readers understand the most relevant quantitative methods for managerial decision-making. Pursuing a highly practical approach, the book reduces the theoretical information to a minimum, so as to give full prominence to the analysis of real business problems..Each chapter includes a brief theoretical explanation, followed by a real-life managerial case that needs to be solved, which is accompanied by a corresponding Microsoft Excel? dataset. The practical cases and exercises are solved using Excel, and for each problem, the authors provide an Excel file with the complete solution and corresponding calculations, which can be downloaded easily from the book’s website. Further, in an appendix, readers can find solutions to the same problems, but using the R statistical language..The book represents a valuable reference guide for postgraduate, MBA and executive education students, as it offers a hands-on, practical approach to learning quantitative methods in a managerial context. It will also be of interest to managers looking for a practical and straightforward way to learn about quantitat
出版日期Textbook 2019
關(guān)鍵詞Business and Management; Decision Theory; Quantitative Methods; Applied Econometrics; Quantitative Stati
版次1
doihttps://doi.org/10.1007/978-3-030-17554-2
isbn_softcover978-3-030-17556-6
isbn_ebook978-3-030-17554-2
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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沙發(fā)
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Probability DistributionsThis chapter is a very elementary introduction to probability distributions. We first introduce the concept of probability in managerial terms and then explain how to operationalize the probability distribution of categorical and continuous variables.
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The Regression LineThe second part of this book is devoted to regression analysis. This chapter presents the main properties of the simplest regression model, the regression line. Chapters from . to . deal with regression analysis in general.
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Out-of-Sample ValidationThis chapter deals with the validation of classification models. The role of validation is to dismiss the concerns about overfitting, which happens when we develop a complex model in order to fit the current data but that model fails later to fit new data. The example deals with churn modeling, already mentioned in Chap.?8.
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978-3-030-17556-6Springer Nature Switzerland AG 2019
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