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With the alias of DiagTrace, it is easy to call Trace or DiagTrace to get to either of the Trace classes. The alias is used in the examples that follow.

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IMPORTANT TERMS AND CONCEPTS In the E-book, click on any term or concept below to go to that subject. Connection between hypothesis tests and con dence intervals Critical region for a test statistic Null hypothesis One- and two-sided alternative hypotheses Operating characteristic curves Power of the test P-value Reference distribution for a test statistic Sample size determination for hypothesis tests Signi cance level of a test Statistical hypotheses Statistical versus practical signi cance Test for goodness of t Test for homogeneity Test for independence Test statistic Type I and type II errors

9-3.4 Likelihood Ratio Approach to Development of Test Procedures (CD Only)

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Hypothesis testing is one of the most important techniques of statistical inference. Throughout this book we present many applications of hypothesis testing. While we have emphasized a heuristic development, many of these hypothesis-testing procedures can be developed using a general principle called the likelihood ratio principle. Tests developed by this method often turn out to be best test procedures in the sense that they minimize the type II error probability among all tests that have the same type I error probability . The likelihood ratio principle is easy to illustrate. Suppose that the random variable X has a probability distribution that is described by an unknown parameter , say, f (x, ). We wish to test the hypothesis H0: is in 0 versus H1: is in 1, where 0 and 1 are disjoint sets of values (such as H0: 0 versus H1: 0). Let X1, X2, p , Xn be the observations in a random sample. The joint distribution of these sample observations is f 1x1, x2, p , xn, 2 f 1x1, 2 f 1x2, 2 p f 1xn, 2

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Switches can be used in an application to control the Debug and Trace output from the application s configuration file. Two concrete switch classes inherit from the abstract (MustInherit) Switch class: BooleanSwitch and TraceSwitch.

Recall from our discussion of maximum likelihood estimation in 7 that the likelihood function, say L( ), is just this joint distribution considered as a function of the parameter . The likelihood ratio principle for test construction consists of the following steps: 1. Find the largest value of the likelihood for any in 0. This is done by nding the maximum likelihood estimator of restricted to values within 0 and by substituting this value of back into the likelihood function. This results in a value of the likelihood function that we will call L( 0). Find the largest value of the likelihood for any in lihood function L( 1). Form the ratio L1 L1

02 12

You can set the BooleanSwitch to 1 or 0 in the Web.config file, as shown in the following example:

2. 3.

Call this the value of the like-

<configuration> <system.diagnostics> <switches> <add name= myBoolSwitch value= 0 /> <add name= myOtherBoolSwitch value= 1 /> </switches> </system.diagnostics> </configuration>

This ratio is called the likelihood ratio test statistic. The test procedure calls for rejecting the null hypothesis H0 when the value of this ratio is small, say, whenever k, where k is a constant. Thus, the likelihood ratio principle requires rejecting H0 when L( 1) is much larger than L( 0), which would indicate that the sample data are more compatible with the alternative hypothesis H1 than with the null hypothesis H0. Usually, the constant k would be selected to give a speci ed value for , the type I error probability. These ideas can be illustrated by a hypothesis-testing problem that we have studied before that of testing whether the mean of a normal population has a speci ed value 0. This is the one-sample t-test of Section 9-3. Suppose that we have a sample of n observations from a normal population with unknown mean and unknown variance 2, say, X1, X2, p , Xn. We wish to test the hypothesis H0: 0 versus H1: 0. The likelihood function of the sample is a

2 2 12

To use these switches in the program, you can create instances of the BooleanSwitch and use them in any conditional statement, such as Debug.WriteIf, Trace.WriteLineIf, or a simple If statement. The following sample shows how the BooleanSwitch class can be used:

{ : }, respectively. The values 0 and 1 are the usual maximum likelihood estimates for and 2:

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