Titlebook: Statistical Analysis of Empirical Data; Methods for Applied Scott Pardo Book 2020 Springer Nature Switzerland AG 2020 statistical methods.

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Multivariate Analysis and Classification,te a classification function, so that any new individual can be placed into one of the several categories, either those that were already known to exist or into those that were discovered after analysis.

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The Acceptance Sampling Game,ucing those units as “acceptable,” or “rejecting” it as “unacceptable.” Often the null hypothesis is stated in terms of the probability that a randomly selected unit is “unacceptable.” However, the hypothesis can also be stated in terms of the probability that a unit is “acceptable.” Such tests can

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Nonparametric Statistics: A Strange Name,lation from which the sample was drawn. Typically the assumptions require a “parametric” form, namely that the population’s distribution relies on a small number of parameters, such as mean and standard deviation. Nonparametric methods attempt to provide a vehicle for inference that is free of such

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Autocorrelated Data and Dynamic Systems,mework for fitting dynamic data. The most important feature exploited by these models is called the autocorrelation (or partial autocorrelation) function. These functions can be estimated under certain regularizing conditions, known as stationarity. When the data-generating process is stationary, th

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