Antecedents and consequences of apparel involvement

... relevant product to student respondents. Some previously studied apparel categories in involvement research were jeans, dresses, bras, socks, and T-shirts. However, little work has focused thoroughly on apparel involvement. There were several studies that used the concept of apparel involvement in r ...

... relevant product to student respondents. Some previously studied apparel categories in involvement research were jeans, dresses, bras, socks, and T-shirts. However, little work has focused thoroughly on apparel involvement. There were several studies that used the concept of apparel involvement in r ...

Real business cycles: A Reader

... G.King and Charles I.Plosser for “Real Business Cycles and the Test of the Adelmans” in Journal of Monetary Economics, vol. 33:2, April 1989, pp. 405–438. Louisiana State University Press and James E.Hartley, Kevin D.Salyer and Steven M.Sheffrin for “Calibration and Real Business Cycle Models: An Un ...

... G.King and Charles I.Plosser for “Real Business Cycles and the Test of the Adelmans” in Journal of Monetary Economics, vol. 33:2, April 1989, pp. 405–438. Louisiana State University Press and James E.Hartley, Kevin D.Salyer and Steven M.Sheffrin for “Calibration and Real Business Cycle Models: An Un ...

Executive Summary - EDA Incubator Tool

... Association, and Cybergroup Inc. – used a robust methodology to collect and statistically analyze data, and determine specific relationships between how an incubation program operates and how its client companies perform, as measured by a number of outcomes. The purpose of this study is to test whet ...

... Association, and Cybergroup Inc. – used a robust methodology to collect and statistically analyze data, and determine specific relationships between how an incubation program operates and how its client companies perform, as measured by a number of outcomes. The purpose of this study is to test whet ...

Customer Loyalty Attributes: A Perspective

... Oliver (1999) also suggested that action loyalty is perceived as a necessary result of engaging previous phases of loyalty and is accompanied by an additional desire to overcome obstacles that may prevent a customer from patronizing the service organization. McMullan (2005) presented studies concer ...

... Oliver (1999) also suggested that action loyalty is perceived as a necessary result of engaging previous phases of loyalty and is accompanied by an additional desire to overcome obstacles that may prevent a customer from patronizing the service organization. McMullan (2005) presented studies concer ...

Link (PDF, 5.57 MB) (PDF, 5441 KB)

... 3.4.5 Expected value problem . . . . . . . . . . . . . . . . . . . 3.4.6 Equivalent LP . . . . . . . . . . . . . . . . . . . . . . . . . 3.4.7 Current solver availability . . . . . . . . . . . . . . . . . . 3.5 SLP models with a joint integrated chance constraint . . . . . . . 3.5.1 Modeling losses ...

... 3.4.5 Expected value problem . . . . . . . . . . . . . . . . . . . 3.4.6 Equivalent LP . . . . . . . . . . . . . . . . . . . . . . . . . 3.4.7 Current solver availability . . . . . . . . . . . . . . . . . . 3.5 SLP models with a joint integrated chance constraint . . . . . . . 3.5.1 Modeling losses ...

Learning Latent Sentiment Scopes for Entity

... the collapsed CRF, we integrate both named entity information and sentiment level information together to form label sequences. We extend such an approach by using 9 different types of nodes at each word/position, namely B+ , E+ and A+ nodes for positive sentiment, B− , E− and A− nodes for negative ...

... the collapsed CRF, we integrate both named entity information and sentiment level information together to form label sequences. We extend such an approach by using 9 different types of nodes at each word/position, namely B+ , E+ and A+ nodes for positive sentiment, B− , E− and A− nodes for negative ...

Explanatory Variable/Error Term Independence Premise

... o Can the calculations for the standard errors be trusted? o Is the ordinary least square (OLS) estimation procedure for the coefficient value the most reliable, the best linear unbiased estimation procedure (BLUE)? In the previous two chapters we showed that the violation the first two standard ord ...

... o Can the calculations for the standard errors be trusted? o Is the ordinary least square (OLS) estimation procedure for the coefficient value the most reliable, the best linear unbiased estimation procedure (BLUE)? In the previous two chapters we showed that the violation the first two standard ord ...

SAP BusinessObjects Business Intelligence with SAP

... BI is being deployed in the company. SAP’s tools for reporting, dashboarding, analysis and planning can all access HANA, but in technically different ways. The Self Service BI product SAP Lumira is an example of how SAP is taking its first steps towards tighter integration between HANA and BusinessO ...

... BI is being deployed in the company. SAP’s tools for reporting, dashboarding, analysis and planning can all access HANA, but in technically different ways. The Self Service BI product SAP Lumira is an example of how SAP is taking its first steps towards tighter integration between HANA and BusinessO ...

The subsistence to commercial transition in agricultural development

... Coward, Elisha Walter Jr., "The subsistence to commercial transition in agricultural development" (1969). Retrospective Theses and ...

... Coward, Elisha Walter Jr., "The subsistence to commercial transition in agricultural development" (1969). Retrospective Theses and ...

New Measures of Clumpiness for Incidence Data Yao Zhang Eric T. Bradlow

... does not provide persuasive evidence of “hot hands”. Their studies have been widely cited, leading many to believe that the perception by fans and players that athletes sometimes get hot is an example of how people erroneously see patterns in random data. An important question to be asked is whether ...

... does not provide persuasive evidence of “hot hands”. Their studies have been widely cited, leading many to believe that the perception by fans and players that athletes sometimes get hot is an example of how people erroneously see patterns in random data. An important question to be asked is whether ...

Cusum - Stata

... The resulting plot, which is U-shaped, suggests a negative monotonic relationship. The trend is confirmed by a highly significant linear cusum statistic, labeled CusumL in the output above. Some 29.73% of the cars are foreign (coded 1). The proportion of foreign cars diminishes with increasing weigh ...

... The resulting plot, which is U-shaped, suggests a negative monotonic relationship. The trend is confirmed by a highly significant linear cusum statistic, labeled CusumL in the output above. Some 29.73% of the cars are foreign (coded 1). The proportion of foreign cars diminishes with increasing weigh ...

3839grading3840 - Emerson Statistics

... f. In parts a-d of this problem, we described the distribution of death within 5 years across groups defined by LDL level. What if we fit a logistic regression model mimicking the approach used in problems 1 – 4 of homework #2, where we described the distribution of LDL across groups defined by vita ...

... f. In parts a-d of this problem, we described the distribution of death within 5 years across groups defined by LDL level. What if we fit a logistic regression model mimicking the approach used in problems 1 – 4 of homework #2, where we described the distribution of LDL across groups defined by vita ...

Advertising Theories and Models œ how well can these be

... hope to send a message to their customers that later on will result in the customer buying their products or services (Dahlqvist & Linde, 2002). External Communications are important on the market today and it can be hard to find new ways to compete on. It is therefore very essential for organisatio ...

... hope to send a message to their customers that later on will result in the customer buying their products or services (Dahlqvist & Linde, 2002). External Communications are important on the market today and it can be hard to find new ways to compete on. It is therefore very essential for organisatio ...

Allocation of Marketing Resources to Optimize Customer Equity

... Once the financial profile of customers has been estimated, the use of risk management techniques to select the optimal customer portfolio is addressed in chapter 4. I discuss methods for the allocation of a limited marketing budget by formulating and solving the associated constrained optimization ...

... Once the financial profile of customers has been estimated, the use of risk management techniques to select the optimal customer portfolio is addressed in chapter 4. I discuss methods for the allocation of a limited marketing budget by formulating and solving the associated constrained optimization ...

Academic Script

... is also a super key. But in some situations, no proper subset is a super key. Those minimal super keys are called candidate keys. Assume that a combination of student_name and student_street identifies the members of the student entity set. Then { student_id } and { student_name, student_street } bo ...

... is also a super key. But in some situations, no proper subset is a super key. Those minimal super keys are called candidate keys. Assume that a combination of student_name and student_street identifies the members of the student entity set. Then { student_id } and { student_name, student_street } bo ...

mcq regression and correlation with correct

... A measure of the strength of the linear relationship that exists between two variables is called: (a) Slope (b) Intercept (c) Correlation coefficient (d) Regression equation MCQ 14.42 When the ratio of variations in the related variables is constant, it is called: (a) Linear correlation (b) Nonlinea ...

... A measure of the strength of the linear relationship that exists between two variables is called: (a) Slope (b) Intercept (c) Correlation coefficient (d) Regression equation MCQ 14.42 When the ratio of variations in the related variables is constant, it is called: (a) Linear correlation (b) Nonlinea ...

Data mining of temporal sequences for the prediction of infrequent

... or failures either prior or directly upon their occurrence. Diagnosis is a term which englobes at the same time the observation of a situation (monitoring of an industrial system) and the relevant decisions to be taken following this observation (system degraded or not, etc.). It is a vast research ...

... or failures either prior or directly upon their occurrence. Diagnosis is a term which englobes at the same time the observation of a situation (monitoring of an industrial system) and the relevant decisions to be taken following this observation (system degraded or not, etc.). It is a vast research ...

... or failures either prior or directly upon their occurrence. Diagnosis is a term which englobes at the same time the observation of a situation (monitoring of an industrial system) and the relevant decisions to be taken following this observation (system degraded or not, etc.). It is a vast research ...

The Customer Marketing Database: Cutting Costs and Improving

... Slow response time can indicate different things, depending on the question. For example, it may be necessary to know how many customers answered a survey question a certain way. A properly designed and well maintained customer marketing database should be able to deliver this answer within seconds. ...

... Slow response time can indicate different things, depending on the question. For example, it may be necessary to know how many customers answered a survey question a certain way. A properly designed and well maintained customer marketing database should be able to deliver this answer within seconds. ...

PDF

... phenomenon in aggregate time-series models. However, at the household level, it complicates the study because of the non-negativity restriction on household purchases.2 Further, the temporal linkage of purchasing in panel data models, unlike in aggregate models, arises not only from state dependence ...

... phenomenon in aggregate time-series models. However, at the household level, it complicates the study because of the non-negativity restriction on household purchases.2 Further, the temporal linkage of purchasing in panel data models, unlike in aggregate models, arises not only from state dependence ...

Scribe Notes

... of parameters is itself considered to be a random variable. One example is to do clustering with k-means (or mixture of Gassuians) while the number of clusters k is unknown. Bayesian inference addresses this problem by treating k itself as a random variable. A prior is defined over an infinite dimen ...

... of parameters is itself considered to be a random variable. One example is to do clustering with k-means (or mixture of Gassuians) while the number of clusters k is unknown. Bayesian inference addresses this problem by treating k itself as a random variable. A prior is defined over an infinite dimen ...

Fuzzy-Mapping-Rules

... The centroid defuzzification is then applied to the rules with crisp consequents with the following formula: y = ∑Mi=1 wici / ∑Mi=1 wi where wi is the degree to which ith rule matches the input data. This method reduces the computation cost and facilitates the application of neural networks learning ...

... The centroid defuzzification is then applied to the rules with crisp consequents with the following formula: y = ∑Mi=1 wici / ∑Mi=1 wi where wi is the degree to which ith rule matches the input data. This method reduces the computation cost and facilitates the application of neural networks learning ...

Portfolio Value-at-Risk Using Regular Vine Copulas

... equity price or commodity price fluctuations, additionally risks occurring due to investments that cannot be traded fast enough in order to minimize/prevent losses (liquidity risk). Furthermore, credit risk is the risk of not receiving promised payments, such as repayment of loan or other obligation ...

... equity price or commodity price fluctuations, additionally risks occurring due to investments that cannot be traded fast enough in order to minimize/prevent losses (liquidity risk). Furthermore, credit risk is the risk of not receiving promised payments, such as repayment of loan or other obligation ...