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// Diagnostic Tests Unit Tests Module
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//
// Comprehensive unit tests for diagnostic test algorithms.
//
// Organization:
// - normality: Tests for normality assumptions (Jarque-Bera, Shapiro-Wilk, Anderson-Darling)
// - heteroscedasticity: Tests for heteroscedasticity detection (Breusch-Pagan, White)
// - autocorrelation: Tests for autocorrelation detection (Durbin-Watson, Breusch-Godfrey)
// - linearity: Tests for linearity assumptions (Rainbow, Harvey-Collier, RESET)
// - influence: Tests for influential observations (Cook's Distance, DFBETAS, DFFITS)