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Physical Sciences and Mathematics Commons™
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- Backroom effect (1)
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- Bootstrap samples (1)
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- Factor analysis (1)
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- Survey reduction (1)
- Vendor managed inventory (1)
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Articles 1 - 5 of 5
Full-Text Articles in Physical Sciences and Mathematics
Copula Theory And Regression Analysis, Mayooran Thevaraja
Copula Theory And Regression Analysis, Mayooran Thevaraja
All Graduate Theses, Dissertations, and Other Capstone Projects
Researchers are often interested to study in the relationships between one variable and several other variables. Regression analysis is the statistical method for investigating such relationship and it is one of the most commonly used statistical Methods in many scientific fields such as financial data analysis, medicine, biology, agriculture, economics, engineering, sociology, geology, etc. But basic form of the regression analysis, ordinary least squares is not suitable for actuarial applications because the relationships are often nonlinear and the probability distribution of the response variable may be non-Gaussian distribution. One of the method that has been successful in overcoming these challenges …
The Vendor In A Retail Setting: A Survey, Jesse Laporte
The Vendor In A Retail Setting: A Survey, Jesse Laporte
All Graduate Theses, Dissertations, and Other Capstone Projects
We consider the problem of managing nonperishable inventory as a vendor in a grocer setting. To manage inventory effectively, we must meet the demand of our customers as closely as we can. Too much inventory results in holding costs and ties up a large amount of capital and too little inventory results in lost sales or substitution. It is typical in a retail setting for the vendor to have access to past ordering data, but this data is only representative of the demand when we have sufficient inventory. Otherwise, the demand exceeds the inventory on hand and we lose, in …
Operational Research: Multi-Period Stowage Policies Within A Multi-Zone Storage Framework., Joseph Loeffler
Operational Research: Multi-Period Stowage Policies Within A Multi-Zone Storage Framework., Joseph Loeffler
All Graduate Theses, Dissertations, and Other Capstone Projects
This paper will be extending the single period stowage decision model presented by [Yuan, 2017] into a multi-period stowage decision model. The stowage decision determines how incoming items are distributed and stored across multiple storage zones. The amount of items that can be picked in any given storage zone is finite within a single time period. With this constraint, this research attempts to optimize how items are stored across many zones to meet uncertain demand requirements. A simulation study will be performed to compare the stowage policies given by [Yuan, 2017] to see how well they generalize to multi-period model. …
Building A Predictive Model For Baseball Games, Jordan Robertson Tait
Building A Predictive Model For Baseball Games, Jordan Robertson Tait
All Graduate Theses, Dissertations, and Other Capstone Projects
In this paper, we will discuss a method of building a predictive model for Major League Baseball Games. We detail the reasoning for pursuing the proposed predictive model in terms of social popularity and the complexity of analyzing individual variables. We apply a coarse-grain outlook inspired by Simon Dedeos' work on Human Social Systems, in particular the open source website Wikipedia [2] by attempting to quantify the influence of winning and losing streaks instead of analyzing individual performance variables. We will discuss initial findings of data collected from the LA Dodgers and Colorado Rockies and apply further statistical analysis to …
Creating A User Satisfaction Index From A Parsimonious Survey Instrument, Brian Barthel
Creating A User Satisfaction Index From A Parsimonious Survey Instrument, Brian Barthel
All Graduate Theses, Dissertations, and Other Capstone Projects
In this paper we present a comprehensive method for creating a user satisfaction index using a survey instrument. First we construct a parsimonious survey instrument, using the PageRank Centrality, to measure attributes of user satisfaction. Then confirmatory factor analysis is applied to extract ``weights'' on the questions that are used in a linear model of computing the user satisfaction index. Throughout the paper an analysis of an existing data set is implemented to illustrate the proposed method. In addition the validity of the confirmatory factor model is tested using bootstrap sampling.