Confidence intervals for the conditional probability of misallocation in discriminant analysis

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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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G J McLachlan

    Biometrics
    |March 1, 1975
    PubMed

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    An unbiased point estimate is often insufficient to predict a population estimate, such as population mean or population proportion. In this scenario, a confidence interval is used. A confidence interval is an estimate similar to a sample proportion. However, unlike the point estimate which is a single value, the confidence interval contains a range of values. These values have lower and upper limits, known as confidence limits, and can be designated as L1 and L2, respectively.
    A confidence...
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    Interpretation of Confidence Intervals

    A confidence interval is a better estimate of the population than a point estimate, as it uses a range of values from a sample instead of a single value.
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    Critical Values01:31

    Critical Values

    A critical value is a definite value obtained from a particular probability distribution at a predecided confidence level (or a predecided significance level) for a given population parameter. The critical value provides demarcation that separates the sample statistics that are likely to occur from the ones that are unlikely to occur based on the given probability distribution and the population parameter to be estimated. The critical value for normal distribution is obtained from the z...
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    Finding Critical Values for Chi-Square

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    Expected Frequencies in Goodness-of-Fit Tests01:19

    Expected Frequencies in Goodness-of-Fit Tests

    A goodness-of-fit test is conducted to determine whether the observed frequency values are statistically similar to the frequencies expected for the dataset. Suppose the expected frequencies for a dataset are equal such as when predicting the frequency of any number appearing when casting a die. In that case, the expected frequency is the ratio of the total number of observations (n) to the number of categories (k).
    Introduction to Test of Independence01:21

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