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The linear relationship that we have tentatively assumed may be valid over the original range of x, but it may be unlikely to remain so as we extrapolate that is, if we use values of x beyond that range In other words, as we move beyond the range of values of x for which data were collected, we become less certain about the validity of the assumed model Regression models are not necessarily valid for extrapolation purposes Now this does not mean don t ever extrapolate There are many problem situations in science and engineering where extrapolation of a regression model is the only way to even approach the problem However, there is a strong warning to be careful A modest extrapolation may be perfectly all right in many cases, but a large extrapolation will almost never produce acceptable results..

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or a PDF file and returns the text contained in it. The Java wrapper will perform this operation by using Tesseract. Alternatively you can use any other OCR ...

11-8.3

RenderText method plus an additional parameter for a callback function and another parameter for the AsynchState object. The callback parameter is assigned an instance of AsyncCallback, which is a reference to the RenderTextCallback method. The AsynchState parameter can contain a reference to any object and is used to pass an object from the Begin to the End method. In this case, the Image1 control was passed to the End method, which allows the End method to populate the ImageURL of Image1.

Lack-of-Fit Test (CD Only)

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Regression models are often t to data to provide an empirical model when the true relationship between the variables Y and x is unknown. Naturally, we would like to know whether the order of the model tentatively assumed is correct. This section describes a test for the validity of this assumption. The danger of using a regression model that is a poor approximation of the true functional relationship is illustrated in Fig. S11-1. Obviously, a polynomial of degree two or greater in x should have been used in this situation. We present a test for the goodness of t of the regression model. Speci cally, the hypotheses we wish to test are H0: The simple linear regression model is correct. H1: The simple linear regression model is not correct.

The balance of this chapter is devoted to building a Web service and registering the Web service with the Microsoft UDDI provider.

11-1

11-2

A Web service can be created by starting Visual Studio .NET and creating an ASP.NET Web service Application, as shown in Figure 16.12. This example creates the Web service that was consumed in the previous session.

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The test involves partitioning the error or residual sum of squares into the following components: SSE SSPE SSLOF (S11-1)

where SSPE is the sum of squares attributable to pure error, and SSLOF is the sum of squares attributable to the lack of t of the model. To compute SSPE, we must have repeated observations on the response Y for at least one level of x. Suppose we have n total observations such that y11, y12, p , y1n1 y21, y22, p , y2n2 # # # repeated observations at x1 repeated observations at x2

ym1, ym2, p , ymnm repeated observations at xm Note that there are m distinct levels of x. The contribution to the pure-error sum of squares at x1 (say) would be a 1 y1u

A new class file, called TextToImage.asmx, has been added to the project. The TextToImage class contains the following code at the top of the file:

Select the range of data that you want to chart. You can include any headings and labels, but do not include subtotals or totals.

y1 2 2

(S11-2)

Imports System.Web.Services Imports System.Drawing <WebService(Namespace:= http://teachatechie.com/ , _ Description:= <table border= 0 ><tr><td> <img src= http://teachatechie.com/GJTTVBWebServices/images/logo.gif

where y1 represents the average of all n1 repeat observations on the response y at x1. The total sum of squares for pure error would be obtained by summing Equation S11-2 over all levels of x as SSPE

(S11-3)

border= 0 ></td><td><font size= 4 > Glenn Johnson Technical Training<br> Text to Image Web Service.</font></td></tr><tr><td colspan= 2 > Be sure to visit <a href= http://gjtt.com >GJTT.com</a> for additional .NET support. If any questions, feel free to <a href= mailto:glenn@GJTT.com subject=Zip Code Web Service > email me.</a></td></tr></table> )> _ Public Class TextToImage Inherits System.Web.Services.WebService

There are npe g i 1 1ni 12 n m degrees of freedom associated with the pure-error sum of squares. The sum of squares for lack of t is simply SSLOF with n 2 npe m SSE SSPE (S11-4)

2 degrees of freedom. The test statistic for lack of t would then be F0 SSLOF 1m 22 SSPE 1n m2 MSLOF MSPE f (S11-5)

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Java Sample Code to Recognize (OCR) and Add Text to a PDF ...
Mar 20, 2019 · Here is a simple small Java program that uses Qoppa's PDF library jPDFProcess and the Tesseract libraries to recognize text in a PDF and add ...

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