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People who are familiar with traditional ASP are accustomed to creating a single file for each Web page. ASP.NET supports the single-file programming model. Using the single-page programming model, the server code and the client-side tags and code are placed in the same file with an .aspx file extension. This doesn t do anything to help clean up spaghetti code, but the single-file model can be especially useful to ease the pain of migrating ASP code to ASP.NET. The two-page model provides a separation of the server-side code and client-side HTML and code. The model offers the ability to use an .aspx page for the client-side presentation logic and a Visual Basic code-behind file with a .vb file extension for the server-side code. This chapter starts by using the single-page model due to its simplicity. After most of the basic concepts are covered, the chapter switches to the twopage model. The two-page, or code-behind, model is used exclusively throughout the balance of the book due to the benefits it provides.

Select the text that you want to edit. Click the Home tab on the Ribbon. Click the next to the Font Color button ( ).

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We would like to examine the influential points to determine whether they control many model properties. If these influential points are bad points, or erroneous in any way, they should be eliminated. On the other hand, there may be nothing wrong with these points, but at least we would like to determine whether or not they produce results consistent with the rest of the data. In any event, even if an influential point is a valid one, if it controls important model properties, we would like to know this, since it could have an impact on the use of the model. Montgomery, Peck, and Vining (2001) and Myers (1990) describe several methods for detecting influential observations. An excellent diagnostic is the distance measure developed by Dennis R. Cook. This is a measure of the squared distance between the usual least squares estimate of based on all n observations and the estimate obtained when the ith point is removed, say, 1i2. The Cook distance measure is 1 1i2

Clearly, if the ith point is influential, its removal will result in 1i2 changing considerably from the value . Thus, a large value of Di implies that the ith point is influential. The statistic Di is actually computed using

Using the single-page programming model, a simple Hello World page using ASP.NET can be written and saved to a file called vb.aspx containing the following:

From Equation 12-44 we see that Di consists of the squared studentized residual, which reflects how well the model fits the ith observation yi [recall that ri ei 2 2 11 hii 2 4 and a component that measures how far that point is from the rest of the data 3hii 11 hii 2 is a measure of the distance of the ith point from the centroid of the remaining n 1 points]. A value of Di 1 would indicate that the point is influential. Either component of Di (or both) may contribute to a large value. EXAMPLE 12-10 Table 12-11 lists the values of the hat matrix diagonals hii and Cook s distance measure Di for the wire bond pull strength data in Example 12-1. To illustrate the calculations, consider the first observation: D1 31.57 25.235211 3 0.035

(12-44)

h11 2 4 2

3

0.15732 4 2

0.1573 0.15732

<body> <form id= Form1 method= post runat= server > <asp:TextBox id= Hi runat= server > Hello World </asp:TextBox> <asp:Button id= Button1 runat= server Text= Say Hi > </asp:Button> </form> </body> </HTML>

The Cook distance measure Di does not identify any potentially influential observations in the data, for no value of Di exceeds unity.

Table 12-11 Influence Diagnostics for the Wire Bond Pull Strength Data 2 Observations i 1 2 3 4 5 6 7 8 9 10 11 12 13 hii 0.1573 0.1116 0.1419 0.1019 0.0418 0.0749 0.1181 0.1561 0.1280 0.0413 0.0925 0.0526 0.0820 Cook s Distance Measure Di 0.035 0.012 0.060 0.021 0.024 0.007 0.036 0.020 0.160 0.001 0.013 0.001 0.001 Observations i 14 15 16 17 18 19 20 21 22 23 24 25 hii 0.1129 0.0737 0.0879 0.2593 0.2929 0.0962 0.1473 0.1296 0.1358 0.1824 0.1091 0.0729 Cook s Distance Measure Di 0.003 0.187 0.001 0.565 0.155 0.018 0.000 0.052 0.028 0.002 0.040 0.000

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