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NEPARAMETRIJSKI TESTOVI

NEPARAMETRIJSKI TESTOVI. 2. M: 1, 1, 1, 2, 2, 2, 2, 3, 3, 3, 4, 4, 5, 6, 8, 9, 11, 13, 14, 18 8,5 2 Z: 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 3, 3, 3, 4, 5, 6, 7, 8, 11, 11. 3,5. 2,5. 5,5. Da li ovi rezultati ukazuju na trend u koncentraciji hormona?. NEPARAMETRIJSKA ANOVA

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NEPARAMETRIJSKI TESTOVI

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  1. NEPARAMETRIJSKI TESTOVI

  2. 2 M: 1, 1, 1, 2, 2, 2, 2, 3, 3, 3, 4, 4, 5, 6, 8, 9, 11, 13, 14, 18 8,5 2 Z: 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 3, 3, 3, 4, 5, 6, 7, 8, 11, 11 3,5 2,5 5,5

  3. Da li ovi rezultati ukazuju na trend u koncentraciji hormona?

  4. NEPARAMETRIJSKA ANOVA • Jednofaktorska (više nezavisnih uzoraka): • - (prošireni medijana-test) • - Kruskal-Wallis-ov test: koristi rangove umesto • “sirovih” podataka; “snažniji” od proširenog • medijana-testa •  χ2 • Više zavisnih uzoraka: • - Friedman-ov test

  5. Theil-ova potpunametoda: • Nagib se računa kao medijana nagiba za svaki • par tačaka (1 ≤ i, j ≤ n) • odsečak isto kao kod nepotpune metode • više računanja • Prednosti Theil-ovih metoda: • ne pretpostavljaju greške samo u y-vrednostima • ne pretpostavljaju normalnu raspodelu grešaka • neosetljive na ekstremne vrednosti (outliers) • A comparison of best fit lines for data with outliers • (Glaister, P. Int. J. Math. Educ. Sci. Technol. 2005, 36, 110–117)

  6. Kolmogorov-Smirnov-ljev test • Za testiranje normalnosti raspodele • Poredi krivu kumulativne frekvencije sa krivom pretpostavljene raspodele • Podaci se transformišu u standardnu formu (izračunavaju se z-vrednosti)

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