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Titlebook: Business Statistics for Competitive Advantage with Excel and JMP ; Basics, Model Buildi Cynthia Fraser Textbook 2024 The Editor(s) (if appl

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发表于 2025-3-21 20:03:32 | 显示全部楼层 |阅读模式
期刊全称Business Statistics for Competitive Advantage with Excel and JMP
期刊简称Basics, Model Buildi
影响因子2023Cynthia Fraser
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发行地址Examines numerous real world cases, with Excel and JMP screen shots and shortcuts.Emphasize visualization to best communicate results to audiences.Includes Monte Carlo simulation and conjoint analysis
图书封面Titlebook: Business Statistics for Competitive Advantage with Excel and JMP ; Basics, Model Buildi Cynthia Fraser Textbook 2024 The Editor(s) (if appl
影响因子.This book is the latest title of the popular Excel textbook; redesigned, while including interactive, user-friendly JMP to encourage business students to develop competitive advantages for use in their future careers. .How can performance outcome drivers be identified? How can performance outcomes be forecast?. Use of regression, conjoint analysis, Monte Carlo simulation provide answers and solutions for specific scenarios. Students learn to build models, produce statistics, and translate results into implications for decision makers..The text features new and updated examples and assignments, and each chapter discusses a focal case from the business world which can be analyzed using the statistical strategies and software provided in the text. Paralleling recent interest in climate change and sustainability, new case studies concentrate on issues such as the impact of drought on business, automobile emissions, and sustainable package goods..The book continues its coverage of inference, Monte Carlo simulation, contingency analysis, and linear and nonlinear regression. A new chapter is dedicated to conjoint analysis design and analysis, including complementary use of regression and
Pindex Textbook 2024
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发表于 2025-3-21 22:32:14 | 显示全部楼层
Analytics with Simple Regression to Identify Drivers and Forecast,linear association between two variables. Regression quantifies the influence of a continuous, . on a continuous . variable .. In the case of a trend focused forecast, the driving variable . is time period. In later chapters, focus will be expanded to both explain how an independent decision variabl
尽管
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Interstellar
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发表于 2025-3-22 06:08:52 | 显示全部楼层
Building Multiple Regression Models,le regression. Multiple regression accounts for the joint impact of multiple drivers, which provides a truer estimate of the impact of each one individually. Looking at just one driver, as in simple regression, its estimated impact will be much greater than it actually is. A single driver takes the
褪色
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发表于 2025-3-22 09:04:05 | 显示全部楼层
Explanatory Time Series Models,gression models from cross sectional data do. When decision makers want to forecast . performance in the shorter term, a time series of past performance is used to identify drivers and fit a model. A time series model can be used to identify drivers whose variation over time is associated with later
Decrepit
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发表于 2025-3-22 15:12:35 | 显示全部楼层
Analytics to Simulate Likely Outcomes, values. To estimate future performance, managers make assumptions about likely future scenarios and uncertain future values of performance drivers. . can be used to simulate random samples using decision makers’ assumptions about performance driver values, and those random samples can then be combi
Urologist
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圆锥体
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发表于 2025-3-23 01:31:47 | 显示全部楼层
Business Statistics for Competitive Advantage with Excel and JMP 978-3-031-42555-4
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发表于 2025-3-23 08:16:27 | 显示全部楼层
f inference, Monte Carlo simulation, contingency analysis, and linear and nonlinear regression. A new chapter is dedicated to conjoint analysis design and analysis, including complementary use of regression and978-3-031-42557-8978-3-031-42555-4
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