標題: Titlebook: Business Analysis Using Regression; A Casebook Dean P. Foster,Robert A. Stine,Richard P. Waterman Textbook 1998 Springer Science+Business M [打印本頁] 作者: corrupt 時間: 2025-3-21 17:32
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書目名稱Business Analysis Using Regression讀者反饋
書目名稱Business Analysis Using Regression讀者反饋學科排名
作者: 允許 時間: 2025-3-21 22:10
Assumptions in Regression Modeling,at are needed for tests of means and confidence intervals (as discussed in the preceding volume of cases .). For example, regression analysis assumes that the observations are independent with equal variance.作者: 奇思怪想 時間: 2025-3-22 04:18
Prediction and confidence intervals in regression,r the mean, these intervals rely on an estimate of variability known as the standard error. Although the interpretation of confidence intervals in regression is similar to that of the confidence intervals developed in ., the regression model itself is more complex and complicates the interpretation 作者: gustation 時間: 2025-3-22 08:25 作者: TSH582 時間: 2025-3-22 12:20
Collinearity,epends upon which other correlated variables also appear in the regression model. This class considers methods for understanding how the correlations among the explanatory variables affect the regression coefficients.作者: Merited 時間: 2025-3-22 13:36 作者: 集合 時間: 2025-3-22 19:06
Analysis of Variance with two Factors,tomers, and we would like to make sure that we choose the right combination. The problem of choosing the right combination is made more difficult because such factors often interact. In this example, the best color for one style of package might be the worst color for a different style. Two-way anal作者: BACLE 時間: 2025-3-23 01:15 作者: Indelible 時間: 2025-3-23 03:37
Modeling Time Series,pendent. Such autocorrelation has a powerful effect on a regression model, leading to a spurious impression of accuracy. In addition, several time series often show high correlation, tending to move up and down together. This correlation between series introduces multicollinearity into models using 作者: 沒收 時間: 2025-3-23 08:34 作者: 樂章 時間: 2025-3-23 13:09
https://doi.org/10.1007/978-1-4612-0683-5Impress; Mathematica; Minitab; Volume; analysis of variance; class; complexity; computer; e-Book; fitting; for作者: Infusion 時間: 2025-3-23 17:17 作者: 腐蝕 時間: 2025-3-23 20:22 作者: 失敗主義者 時間: 2025-3-24 00:52
https://doi.org/10.1007/978-3-658-12227-0The following analysis revisits the Forbes executive compensation data that was studied in Classes 2 and 3 of .. Rather than simply characterize the variation in total compensation, this regression analysis builds a model that attempts to “explain” the differences in compensation. We have come a long way since that introductory material.作者: Genistein 時間: 2025-3-24 05:53 作者: transdermal 時間: 2025-3-24 07:24 作者: Common-Migraine 時間: 2025-3-24 11:25 作者: cancer 時間: 2025-3-24 17:04 作者: 玩笑 時間: 2025-3-24 19:17
Assumptions in Regression Modeling,at are needed for tests of means and confidence intervals (as discussed in the preceding volume of cases .). For example, regression analysis assumes that the observations are independent with equal variance.作者: 不可救藥 時間: 2025-3-25 01:56 作者: Amendment 時間: 2025-3-25 05:49 作者: 輕快帶來危險 時間: 2025-3-25 09:17
Toleranz, Konflikte und Wirkungenat are needed for tests of means and confidence intervals (as discussed in the preceding volume of cases .). For example, regression analysis assumes that the observations are independent with equal variance.作者: 內(nèi)行 時間: 2025-3-25 14:49
https://doi.org/10.1007/978-3-662-08531-8epends upon which other correlated variables also appear in the regression model. This class considers methods for understanding how the correlations among the explanatory variables affect the regression coefficients.作者: 字謎游戲 時間: 2025-3-25 17:20 作者: ENDOW 時間: 2025-3-25 22:12
Susanne Klingelh?fer,Ulrich Brüggemannnother. The simplest of these models are linear relationships. In models having a linear structure, the slope of the fitted line is crucial; it quantifies how variation in one variable (the predictor or covariate) translates into variation in the other (the response). The slope helps us interpret ho作者: atopic-rhinitis 時間: 2025-3-26 03:19 作者: 內(nèi)向者 時間: 2025-3-26 06:38
https://doi.org/10.1007/978-3-658-12299-7r the mean, these intervals rely on an estimate of variability known as the standard error. Although the interpretation of confidence intervals in regression is similar to that of the confidence intervals developed in ., the regression model itself is more complex and complicates the interpretation 作者: 江湖郎中 時間: 2025-3-26 10:18 作者: 柔聲地說 時間: 2025-3-26 15:45
https://doi.org/10.1007/978-3-662-08531-8epends upon which other correlated variables also appear in the regression model. This class considers methods for understanding how the correlations among the explanatory variables affect the regression coefficients.作者: 最后一個 時間: 2025-3-26 17:59
Bisherige Arbeiten auf dem Gebiet,rences between two (today) or more groups (Class 7). When the categorical variable has two levels, the group membership is easily coded in a special numerical variable, known as a dummy variable. Since these dummy variables are numerical representations of qualitative, not quantitative, information,作者: 意見一致 時間: 2025-3-26 23:44 作者: Onerous 時間: 2025-3-27 01:56
https://doi.org/10.1007/978-3-662-33895-7eeded when the response itself is a categorical variable. Though more general methods exist, we will consider only cases in which the response is dichotomous, and use a method called logistic regression.作者: Rebate 時間: 2025-3-27 07:09 作者: CRASS 時間: 2025-3-27 13:16 作者: Pepsin 時間: 2025-3-27 16:51 作者: companion 時間: 2025-3-27 19:17
Analysis of Variance with two Factors,generalize this approach to problems with three or more factors. Indeed, regression analysis can be used to obtain the results for any type of anova problem, albeit the results will be tedious to sort out.作者: Crohns-disease 時間: 2025-3-28 01:30
plicated, and confusing mix of mathematical formulas and computers. Our goal in writing this casebook and the companion volume (Basic Business Statistics) was to change that impression by showing how statistics gives insights and answers interesting business questions. Rather than dwell on underlyin作者: Indelible 時間: 2025-3-28 04:31
Susanne Klingelh?fer,Ulrich Brüggemannfies how variation in one variable (the predictor or covariate) translates into variation in the other (the response). The slope helps us interpret how variation in the predictor affects variation in the response.作者: thwart 時間: 2025-3-28 07:50
https://doi.org/10.1007/978-3-658-12299-7ression is similar to that of the confidence intervals developed in ., the regression model itself is more complex and complicates the interpretation of the intervals. In addition, similar intervals known as prediction intervals provide estimates of the accuracy of predictions from the fitted model.作者: 表示向下 時間: 2025-3-28 11:29
Ma?nahmen zum Outdoor-Teambuildingr prediction by again filling in values for the explanatory variables. The confidence intervals and tests for these coefficients closely resemble their counterparts covered in Class 3, and the multiple correlation . and residual standard error again measure the goodness-of-fit of the equation.作者: 商店街 時間: 2025-3-28 17:32 作者: 釋放 時間: 2025-3-28 22:41 作者: 姑姑在炫耀 時間: 2025-3-28 23:45 作者: 灌溉 時間: 2025-3-29 05:45
Prediction and confidence intervals in regression,ression is similar to that of the confidence intervals developed in ., the regression model itself is more complex and complicates the interpretation of the intervals. In addition, similar intervals known as prediction intervals provide estimates of the accuracy of predictions from the fitted model.作者: NEEDY 時間: 2025-3-29 07:14
Multiple regression,r prediction by again filling in values for the explanatory variables. The confidence intervals and tests for these coefficients closely resemble their counterparts covered in Class 3, and the multiple correlation . and residual standard error again measure the goodness-of-fit of the equation.作者: Triglyceride 時間: 2025-3-29 11:52
Modeling Categorical Factors with Two Levels,umerical variable, known as a dummy variable. Since these dummy variables are numerical representations of qualitative, not quantitative, information, the coefficients of dummy variables require special interpretation. The testing methods of Class 5 are valuable tools for comparisons among models using qualitative factors.作者: 繼承人 時間: 2025-3-29 19:06 作者: Organization 時間: 2025-3-29 19:49
