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Theory of Probability & Its Applications, 1985
The author considers a sequence of discrete random variables \((X_ i)_{i=1,2,...}\) where the probability distribution for \(i>\theta\) is different from the one for \(i\leq \theta\). A sequential chi-square test is proposed for the hypotheses on the unknown parameter \(\theta\).
Germogenov, A. P., Ronzhin, A. F.
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The author considers a sequence of discrete random variables \((X_ i)_{i=1,2,...}\) where the probability distribution for \(i>\theta\) is different from the one for \(i\leq \theta\). A sequential chi-square test is proposed for the hypotheses on the unknown parameter \(\theta\).
Germogenov, A. P., Ronzhin, A. F.
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The Application of the Chi-Squared Test
The Mathematical Gazette, 1971Suppose that we open a telephone directory and select any column which consists entirely of personal names. The last digit of each telephone number would seem to have no preferred value. For example, the middle column on p. 417 of the 1970 Newcastle upon Tyne directory contains 109 names, and the frequencies for 0,1,…, 9 are as follows.
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2012
You learned about the chi-square distribution when we discussed confidence intervals for the variance and standard deviation in Chapter 8. Another contribution of Karl Pearson, the chi-square distribution has proven to be quite versatile. We use chi-square tests for determining goodness of fit and for determining the association or lack thereof for ...
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You learned about the chi-square distribution when we discussed confidence intervals for the variance and standard deviation in Chapter 8. Another contribution of Karl Pearson, the chi-square distribution has proven to be quite versatile. We use chi-square tests for determining goodness of fit and for determining the association or lack thereof for ...
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2021
In the simplest type of situation considered in this chapter, each observation in a sample is classified as belonging to one of a finite number of categories—for example, blood type could be one of the four categories O, A, B, or AB. With pi denoting the probability that any particular observation belongs in category i, we wish to test a null ...
Jay L. Devore +2 more
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In the simplest type of situation considered in this chapter, each observation in a sample is classified as belonging to one of a finite number of categories—for example, blood type could be one of the four categories O, A, B, or AB. With pi denoting the probability that any particular observation belongs in category i, we wish to test a null ...
Jay L. Devore +2 more
openaire +1 more source