標(biāo)題: Titlebook: Business Statistics for Competitive Advantage with Excel 2019 and JMP; Basics, Model Buildi Cynthia Fraser Textbook 2019 Springer Nature Sw [打印本頁] 作者: Inveigle 時(shí)間: 2025-3-21 17:03
書目名稱Business Statistics for Competitive Advantage with Excel 2019 and JMP影響因子(影響力)
書目名稱Business Statistics for Competitive Advantage with Excel 2019 and JMP影響因子(影響力)學(xué)科排名
書目名稱Business Statistics for Competitive Advantage with Excel 2019 and JMP網(wǎng)絡(luò)公開度
書目名稱Business Statistics for Competitive Advantage with Excel 2019 and JMP網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Business Statistics for Competitive Advantage with Excel 2019 and JMP被引頻次
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書目名稱Business Statistics for Competitive Advantage with Excel 2019 and JMP讀者反饋
書目名稱Business Statistics for Competitive Advantage with Excel 2019 and JMP讀者反饋學(xué)科排名
作者: 喧鬧 時(shí)間: 2025-3-21 23:11
Logit Regression for Bounded Dependent Variables, odds ratio rescales probabilities or shares to a corresponding unbounded measure. The ., or natural logarithm of an odds ratio, rescales responses, producing an S-shaped pattern, which reflects greater response among “fence sitters” with probabilities or shares that are mid-range.作者: 表狀態(tài) 時(shí)間: 2025-3-22 02:35 作者: 亂砍 時(shí)間: 2025-3-22 06:43 作者: 有惡意 時(shí)間: 2025-3-22 08:57
,Arzneianwendung bei Diarrh?en, of alternate decision variable . values. . is also called a ., since from . we can predict .. Regression allows us to do both: quantify the nature and extent of influence of a performance driver . and predict performance or response . from knowledge of the driver ..作者: 熱情贊揚(yáng) 時(shí)間: 2025-3-22 16:26
https://doi.org/10.1007/978-3-642-81218-7iables to produce valid models with superior fit. An example will be offered in the context of trend models built for forecasting, and in Chapter 11, examples with explanatory multiple regression models will be added.作者: 雄偉 時(shí)間: 2025-3-22 18:46 作者: 兇兆 時(shí)間: 2025-3-23 00:41
Statistics for Decision Making and Competitive Advantage,istics confined to quantitative analysis and market research divisions in firms. Managers in each of the functional areas of business use statistics daily to improve decision making. Excel and other statistical software live in our laptops, providing immediate access to statistical tools which can be used to improve decision making.作者: minimal 時(shí)間: 2025-3-23 01:56 作者: 尖牙 時(shí)間: 2025-3-23 08:59
Nonlinear Regression Models,iables to produce valid models with superior fit. An example will be offered in the context of trend models built for forecasting, and in Chapter 11, examples with explanatory multiple regression models will be added.作者: squander 時(shí)間: 2025-3-23 11:06
Model Building and Forecasting with Multicollinear Time Series,f 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 variation in performance over time.作者: Pigeon 時(shí)間: 2025-3-23 15:35 作者: inveigh 時(shí)間: 2025-3-23 21:59
,Arzneianwendung bei Diarrh?en, odds ratio rescales probabilities or shares to a corresponding unbounded measure. The ., or natural logarithm of an odds ratio, rescales responses, producing an S-shaped pattern, which reflects greater response among “fence sitters” with probabilities or shares that are mid-range.作者: Handedness 時(shí)間: 2025-3-24 01:32 作者: mediocrity 時(shí)間: 2025-3-24 02:49 作者: 聯(lián)想記憶 時(shí)間: 2025-3-24 09:29
Textbook 2019w chapter is dedicated to conjoint analysis design and analysis, including complementary use of regression and JMP.?.For access to accompanying data sets, please email author Cynthia Fraser at cfg8q@virginia.edu..作者: conscience 時(shí)間: 2025-3-24 14:05 作者: 食草 時(shí)間: 2025-3-24 16:52 作者: Antimicrobial 時(shí)間: 2025-3-24 22:34
,Behandlung der Hyperlipoprotein?mien,terize a dataset. The particular descriptive statistics used depend on the . that has been used to assign numbers to represent the characteristics of entities being studied. When the distribution of continuous data is bell shaped, we have convenient properties that make description easier. Chapter Two looks at dataset types and their description.作者: 不斷的變動(dòng) 時(shí)間: 2025-3-25 01:07 作者: Femish 時(shí)間: 2025-3-25 04:39 作者: 壯麗的去 時(shí)間: 2025-3-25 10:35 作者: kindred 時(shí)間: 2025-3-25 12:32 作者: Hearten 時(shí)間: 2025-3-25 17:40
,Behandlung der Hyperlipoprotein?mien,While it is important to be able to conduct the correct statistical analyses, it is equally important that results of analyses are packaged into easily understood PowerPoint presentations and Memos which translate those results to management and decision makers.作者: Breach 時(shí)間: 2025-3-25 21:48
,Thromboseprophylaxe mit Acetylsalicyls?ure,Explanatory multiple regression models are used to accomplish . complementary goals: . The variables selected affect both the explanatory accuracy and power of models, as well as forecasting precision. In this chapter, the focus is on variable selection, the first step in the process used to build powerful and accurate multiple regression models.作者: HERTZ 時(shí)間: 2025-3-26 00:08 作者: Anecdote 時(shí)間: 2025-3-26 06:50
Finance Application: Portfolio Analysis with a Market Index as a Leading Indicator in Simple LinearSimple linear regression of stock rates of return with a Market index provides an estimate of beta, a measure of risk, which is central to finance investment theory.作者: 手勢(shì) 時(shí)間: 2025-3-26 11:59 作者: 指耕作 時(shí)間: 2025-3-26 13:19 作者: entreat 時(shí)間: 2025-3-26 19:20
Conjoint Analysis and Experimental Data,This chapter introduces the use of indicators to analyze data from conjoint analysis experiments. Conjoint analysis is used in experiments to quantify customer preferences for better design of new products and services.作者: 尊重 時(shí)間: 2025-3-26 23:09
Cynthia FraserEmphasizes case studies throughout, including some from multinational corporations, connecting theory with industry..Uses Excel shortcuts throughout, with an Excel section at the end of each chapter f作者: PURG 時(shí)間: 2025-3-27 03:53
http://image.papertrans.cn/b/image/192430.jpg作者: 不能妥協(xié) 時(shí)間: 2025-3-27 06:43 作者: overrule 時(shí)間: 2025-3-27 10:19 作者: Etching 時(shí)間: 2025-3-27 17:25
Indicator Variables,With cross sectional data, indicators can be used to incorporate the unique responses of particular groups or segments. With time series data, indicators can be used to account for external shocks or structural shifts. Indicators also offer one option to account for seasonality or cyclicality in time series.作者: 懶鬼才會(huì)衰弱 時(shí)間: 2025-3-27 20:44
Association Between Two Categorical Variables: Contingency Analysis with Chi Square,ncies or probability. If two categorical variables are associated, the frequencies of values of one will depend on the frequencies of values of the other. Chi square tests the hypothesized association between two categorical variables and contingency analysis quantifies their association.作者: 開始沒有 時(shí)間: 2025-3-28 01:55
https://doi.org/10.1007/978-3-030-20374-0Business Statistics; Excel; Excel 2019; Financial Statistics; Regression Modeling; Statistics for busines作者: 細(xì)查 時(shí)間: 2025-3-28 04:28 作者: NAIVE 時(shí)間: 2025-3-28 06:21
,Thromboseprophylaxe mit Acetylsalicyls?ure,nced decision making backed by statistics. Statistics are useful when they are applied to improve decision making. No longer is the production of statistics confined to quantitative analysis and market research divisions in firms. Managers in each of the functional areas of business use statistics d作者: Ancestor 時(shí)間: 2025-3-28 13:10 作者: 熱情贊揚(yáng) 時(shí)間: 2025-3-28 17:10
,Aufl?sung und Verhütung von Nierensteinen,ow hypotheses about what may be true in the population are tested and how population parameters are estimated with confidence intervals. Included in this chapter are tests of hypotheses and confidence intervals for作者: EVICT 時(shí)間: 2025-3-28 21:19
Behandlung des Diabetes mellitus,. To estimate future performance, managers make assumptions about likely future scenarios and uncertain future values of performance components. To evaluate decision alternatives, the “best” and “worst” case outcomes are compared. Monte Carlo simulation can be used to simulate random samples using d作者: ARCHE 時(shí)間: 2025-3-29 00:34
,Arzneianwendung bei Diarrh?en,explaining how an independent decision variable . drives a dependent performance variable . and also in predicting performance . to compare the impact of alternate decision variable . values. . is also called a ., since from . we can predict .. Regression allows us to do both: quantify the nature an作者: 新義 時(shí)間: 2025-3-29 03:33 作者: Friction 時(shí)間: 2025-3-29 08:01 作者: 省略 時(shí)間: 2025-3-29 12:35 作者: 健談 時(shí)間: 2025-3-29 16:18
Die analytische und Torsionswaage just as regression models from cross sectional data do. When decision makers want to forecast future 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 assoc作者: Demonstrate 時(shí)間: 2025-3-29 21:53 作者: Halfhearted 時(shí)間: 2025-3-30 02:40 作者: defendant 時(shí)間: 2025-3-30 07:54 作者: Overstate 時(shí)間: 2025-3-30 11:52
Hypothesis Tests and Confidence Intervals to Infer Population Characteristics and Differences,ow hypotheses about what may be true in the population are tested and how population parameters are estimated with confidence intervals. Included in this chapter are tests of hypotheses and confidence intervals for作者: 否認(rèn) 時(shí)間: 2025-3-30 16:25
Simulation to Infer Future Performance Levels Given Assumptions,. To estimate future performance, managers make assumptions about likely future scenarios and uncertain future values of performance components. To evaluate decision alternatives, the “best” and “worst” case outcomes are compared. Monte Carlo simulation can be used to simulate random samples using d作者: 新義 時(shí)間: 2025-3-30 18:10
Simple Regression,explaining how an independent decision variable . drives a dependent performance variable . and also in predicting performance . to compare the impact of alternate decision variable . values. . is also called a ., since from . we can predict .. Regression allows us to do both: quantify the nature an作者: CRUC 時(shí)間: 2025-3-30 22:08
