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  2. Testing in binary response index models - Wikipedia

    en.wikipedia.org/wiki/Testing_in_binary_response...

    The first type is testing the multiple exclusion restrictions, namely, testing = = [;]. If the unrestricted MLE can be easily computed, it is convenient to use the Wald test [2] whose test statistic is constructed as:

  3. Hendra virus - Wikipedia

    en.wikipedia.org/wiki/Hendra_virus

    Hendra virus (Hendra henipavirus) is a zoonotic virus found solely in Australia. First isolated in 1994, the virus has since been connected to numerous outbreaks of disease in domestic horses and seven human cases. Hendra virus belongs to the genus Henipavirus, which also contains the zoonotic Nipah virus.

  4. List of statistical tests - Wikipedia

    en.wikipedia.org/wiki/List_of_statistical_tests

    Statistical tests are used to test the fit between a hypothesis and the data. [1] [2] Choosing the right statistical test is not a trivial task. [1]The choice of the test depends on many properties of the research question.

  5. Instrumental variables estimation - Wikipedia

    en.wikipedia.org/wiki/Instrumental_variables...

    For example, exactly identified models produce finite sample estimators with no moments, so the estimator can be said to be neither biased nor unbiased, the nominal size of test statistics may be substantially distorted, and the estimates may commonly be far away from the true value of the parameter.

  6. Sargan–Hansen test - Wikipedia

    en.wikipedia.org/wiki/Sargan–Hansen_test

    The Sargan test is based on the assumption that model parameters are identified via a priori restrictions on the coefficients, and tests the validity of over-identifying restrictions. The test statistic can be computed from residuals from instrumental variables regression by constructing a quadratic form based on the cross-product of the ...

  7. Chauvenet's criterion - Wikipedia

    en.wikipedia.org/wiki/Chauvenet's_criterion

    The idea behind Chauvenet's criterion finds a probability band that reasonably contains all n samples of a data set, centred on the mean of a normal distribution.By doing this, any data point from the n samples that lies outside this probability band can be considered an outlier, removed from the data set, and a new mean and standard deviation based on the remaining values and new sample size ...

  8. Suspect charged with murder, arson for allegedly setting ...

    www.aol.com/female-passenger-killed-being-set...

    A 33-year-old man was charged Monday for allegedly setting on fire and killing a woman on a New York subway train in what authorities called a “brutal murder” and an example of “depraved ...

  9. Type III error - Wikipedia

    en.wikipedia.org/wiki/Type_III_error

    In the 2009 book Dirty rotten strategies by Ian I. Mitroff and Abraham Silvers described type III and type IV errors providing many examples of both developing good answers to the wrong questions (III) and deliberately selecting the wrong questions for intensive and skilled investigation (IV). Most of the examples have nothing to do with ...