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Studies show that the lowest forecasting errors result from the use of trend projections, moving averages, and regression analysis rather than judgmental methods. What is important is not the actual forecasting method used, but how effective the forecasts are and their practical value in the operation. In a small hospitality operation that can adapt quickly to changing circumstances, most forecasting will be done using simple methods, such as adjusting the sales for the coming month by a certain percentage increase or decrease over last year s or last month s, or by using the fairly simple moving average method. Larger enterprises will probably use more complex methods, such as regression analysis. Even though the regression analysis method requires more work, it does not require tedious manual calculations because most calculators are programmed to perform the arithmetic once each series of X and Y variables have been entered. Spreadsheets can be used for budgeting, forecasting, and variance analysis. Once sales forecasts have been completed, they can be used to help determine the quantities of items such as food and beverages to be purchased and when they should be purchased.

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I begin with a discussion of binary response variables. Here, I outline the pitfalls of using linear regression and develop the logistic regression model. Subsequent sections focus on model estimation, the interpretation of model coef cients, various inferential tests used in this type of analysis, and analogues of R 2 for assessing the discriminatory power of a model. Discussion of binary responses then proceeds to more advanced issues, such as modeling and interpreting interaction effects, comparing models across groups, and comparing coef cients of focus variables across nested models. I then treat unordered categorical variables, detailing the use of the multinomial logistic regression model and the test of collapsibility of response categories. Finally, I address the ordered categorical model and how to proceed when the model is not appropriate for the data. The chapter concludes with suggested readings for those interested in pursuing the topic with greater rigor. It is assumed that readers are reasonably familiar with multiple linear regression. Knowledge of matrix algebra is not a requirement; however, matrix notation is introduced in places to facilitate the compact presentation of material.

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Given even a modest bill of materials, a well-designed MythTV PC can easily best the capabilities of most commercial Personal Video Recorder (PVR) gear, but the strongest lure to using the MythTV framework is the freedom of personal choice it offers: You are the one who gets to decide what does and doesn t go into your project build. Let s be very clear about what MythTV definitely is not: MythTV is not intended as a fast and cost-effective replacement for TiVo, ReplayTV, or similar video recording units. MythTV only offers the software foundation upon which a DVR is built; the hardware elements are entirely up to you, the system architect and designer. After all is said and done, the bottom line on building a MythTV box from scratch will lose to commercial, turnkey white box options purely on a cost basis (although such devices usually require for-a-fee monthly subscriptions). Commercial applications such as Windows Media Center Edition may claim advantages primarily in the areas of initial cost and ease of use, owing to volume of production and corporate sponsorship for research and development. That said, MythTV s open-source origins and licensing explains why it dominates the categories of flexibility, capability, and extensibility. MythTV is also the nexus for a broad and varied community of developers around the world. Plus for those of you concerned about such things there s no need to worry about voiding any warranties by tinkering under MythTV s hood (short of messing with system components and their individual warranties). This chapter takes you through the fundamental concepts and components that define a digital video recorder, explaining how MythTV fits that definition and why it outshines all other forms of video cataloging and playback software and hardware products.

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