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ThetaWin

figure.\label{pic0}

Graphical user interface for Theta applications (Schrausser, 2009) within ConsoleApp_DistributionFunctions (Schrausser, 2024), generating distributions and estimators for several parameters $\theta$ via bootstrap method, with given number of resamples $B$, where bootstrap estimator

$$\hat\theta_B=B^{-1}⋅\sum_{i=1}^B\theta^*_i,$$

introduced by Efron (1979, 1981, 1982) as a further development of the Jackknife method (Quenouille, 1949). See also Monte-Carlo Methode (Metropolis & Ulam, 1949) and permutation or randomization tests, first mentioned by Fisher (1935), based on his own account of experiments in agriculture (Fisher, 1926) and the work by Neyman (1923).

In this context see further Pitman (1937a, b, 1938), Fisher (1966, 1971), Good (2006), Edgington & Onghena (2007) or Beasley & Rodgers (2009). A fundamental comparative overview of the different methods and approaches is given by Schrausser (1996).

Screenshots

figure.\label{pic1}

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figure.\label{pic3}

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figure.\label{pic6}

Theta

Usage: Theta [sd] [min] [max] [qq] [q] [v] [s] [[x]] [[g]]
 [sd]  ........... Seed: |0| Zeitwert
 [min] ........... R Minimalwert
 [max] ........... R Maximalwert
 [qq]  ........... Theta-Theta/
 [q]   ........... Theta:
                   |0| Harmonisches Mittel (HM)
                   |1| Arithmetisches Mittel (AM)
                   |2| Summe (SUM)
                   |3| Standardabweichung (SD)
                   |4| Populationsvarianzschaetzung (VAR)
                   |5| Produktsumme(PSM)
                   |6| Geometrisches Mittel(GM)
                   |7| Schrausser's d (D)
                   |8| DvarO (DV)
 [v]  ...........  n zu Theta (v)
 [s]  ...........  n Subpopulationen (s)
 [x]  ...........  Vergleichswert x
 [g]  ...........  |1| Wertebereich ganzzahlig

Theta Q

Usage: Theta_Q [sd][min][max][qq][qp][qs1][qs2][qQ][v][m][n][s] [[x]] [[g]]
 [sd]  ........................... Seed: |0| Zeitwert
 [min] ........................... R Minimalwert
 [max] ........................... R Maximalwert
 [qq]  ........................... Theta-Theta/
 [qp]  ........................... Theta P/
 [qs1] [qs2] ..................... Theta S1, S2:
                                   |0| Harmonisches Mittel (HM)
                                   |1| Arithmetisches Mittel (AM)
                                   |2| Summe (SUM)
                                   |3| Standardabweichung (SD)
                                   |4| Populationsvarianzschaetzung (VAR)
                                   |5| Produktsumme(PSM)
                                   |6| Geometrisches Mittel(GM)
                                   |7| Schrausser's d (D)
                                   |8| DvarO (DV)
 [qQ]  ........................... Theta Q:
                                   |1| Differenz
                                   |2| Quotient
                                   |3| Summe
                                   |4| Produkt
 [v]  ...........................  n zu Theta P (v)
 [m]  ...........................  n zu Theta S1 (m)
 [n]  ...........................  n zu Theta S2 (n)
 [s]  ...........................  n Subpopulationen (s)
 [x]  ...........................  Vergleichswert x
 [g]  ...........................  |1| Wertebereich ganzzahlig

Theta Qv

Usage: Theta_Qv [sd][min][max][qq][qp][qs1][qs2][qQ][QQ][v][n][s] [[x]] [[g]]
 [sd]  ........................... Seed: |0| Zeitwert
 [min] ........................... R Minimalwert
 [max] ........................... R Maximalwert
 [qq]  ........................... Theta-Theta/
 [qp]  ........................... Theta P/
 [qs1][qs2]....................... Theta S1, S2/
 [qQ]  ........................... Theta Q:
                                   |0| Harmonisches Mittel (HM)
                                   |1| Arithmetisches Mittel (AM)
                                   |2| Summe (SUM)
                                   |3| Standardabweichung (SD)
                                   |4| Populationsvarianzschaetzung (VAR)
                                   |5| Produktsumme(PSM)
                                   |6| Geometrisches Mittel(GM)
                                   |7| Schrausser's d (D)
                                   |8| DvarO (DV)
 [QQ]  ........................... Theta Theta Q:
                                   |1| Differenz
                                   |2| Quotient
                                   |3| Summe
                                   |4| Produkt
                                   |5| Korrelation
                                   |6| Kovarianz
                                   |7| Determinationskoeffizient
                                   |8| Redundanz
 [v]  ...........................  n zu Theta P (v)
 [n]  ...........................  n zu Theta S1,S2 (n)
 [s]  ...........................  n Subpopulationen (s)
 [x]  ...........................  Vergleichswert x
 [g]  ...........................  |1| Wertebereich ganzzahlig

Theta rQ

Usage: Theta_rQ [sd][min][max][qq][qp][q11][q12][q21][q22][qr1][qr2][qQ][v][m][n][s] [[x]] [[g]]
 [sd]  ....................... Seed: |0| Zeitwert
 [min] ....................... R Minimalwert
 [max] ....................... R Maximalwert
 [qq]  ....................... Theta-Theta/
 [qp]  ....................... Theta P/
 [q11][q12] .................. Theta S11, S12/
 [q21][q22] .................. Theta S21, S22:
                               |0| Harmonisches Mittel (HM)
                               |1| Arithmetisches Mittel (AM)
                               |2| Summe (SUM)
                               |3| Standardabweichung (SD)
                               |4| Populationsvarianzschaetzung (VAR)
                               |5| Produktsumme(PSM)
                               |6| Geometrisches Mittel(GM)
                               |7| Schrausser's d (D)
                               |8| DvarO (DV)
 [qr1][qr2] ...................Theta Regressionen 1,2/
                               |1| Korrelation (kor)
                               |2| Kovarianz (cov)
                               |3| Determinatinskoeffizient (det)
                               |4| Redundanz (red)
 [qQ]  ....................... Theta Q:
                               |1| Differenz (Diff)
                               |2| Quotient (Quot)
                               |3| Summe (Summ)
                               |4| Produkt (Prod)
 [v]  .......................  n zu Theta P (v)
 [m]  .......................  n zu Theta S11,S12 (m)
 [n]  .......................  n zu Theta S21,S22 (n)
 [s]  .......................  n Subpopulationen (s)
 [x]  .......................  Vergleichswert x
 [g]  .......................  |1| Wertebereich ganzzahlig

Theta S

Usage: Theta_S [sd] [min] [max] [qq] [qp] [qs] [v] [m] [s] [[x]] [[g]]
 [sd]  ...................... Seed: |0| Zeitwert
 [min] ...................... R Minimalwert
 [max] ...................... R Maximalwert
 [qq]  ...................... Theta-Theta:
 [qp]  ...................... Theta P/
 [qs]  ...................... Theta S/
                              |0| Harmonisches Mittel (HM)
                              |1| Arithmetisches Mittel (AM)
                              |2| Summe (SUM)
                              |3| Standardabweichung (SD)
                              |4| Populationsvarianzschaetzung (VAR)
                              |5| Produktsumme(PSM)
                              |6| Geometrisches Mittel(GM)
                              |7| Schrausser's d (D)
                              |8| DvarO (DV)
  [v]  .....................  n zu Theta P (v)
  [m]  .....................  n zu Theta S (m)
  [s]  .....................  n Subpopulationen (s)
  [x]  .....................  Vergleichswert x
  [g]  .....................  |1| Wertebereich ganzzahlig

References

Beasley, W. H., & Rodgers, J. L. (2009). Resampling Methods. In The Sage Handbook of Quantitative Methods in Psychology, edited by Millsap, R. E., & Maydeu-Olivares, A., 362–86. Thousand Oaks, California: Sage Publications Ltd. https://psycnet.apa.org/doi/10.4135/9780857020994.n16.

Edgington, E. S., & Onghena, P. (2007). Randomization Tests. 4th ed. New York: Chapman and Hall/CRC. https://doi.org/10.1201/9781420011814.

Efron, B. (1979). Bootstrap Methods: Another Look at the Jackknife. The Annals of Statistics 7 (1): 1–26. https://doi.org/10.1214/aos/1176344552.

———. (1981). Nonparametric Estimates of Standard Error: The Jackknife, the Bootstrap and Other Methods. Biometrika 68 (3): 589–99. https://doi.org/10.1093/biomet/68.3.589.

———. (1982). The Jackknife, the Bootstrap and Other Resampling Plans. CBMS-NSF Regional Conference Series in Applied Mathematics, Monograph 38. Philadelphia: SIAM, Society for Industrial and Applied Mathematics. https://doi.org/10.1137/1.9781611970319.

Fisher, R. A. (1926). The Arrangement of Field Experiments. Journal of the Ministry of Agriculture 33: 503–15. https://doi.org/10.23637/rothamsted.8v61q.

———. (1935). The Design of Experiments. 1st ed. Edinburgh: Oliver & Boyd. https://psycnet.apa.org/record/1939-04964-000.

———. (1966). The Design of Experiments. 8th ed. Edinburgh: Hafner. https://scirp.org/reference/referencespapers.aspx?referenceid=895747.

———. (1971). The Design of Experiments. 9th ed. New York: Hafner Press. https://home.iitk.ac.in/~shalab/anova/DOE-RAF.pdf.

Good, P. (2006). Resampling Methods. 3rd ed. Basel: Birkhäuser. https://www.amazon.com/Resampling-Methods-Practical-Guide-Analysis/dp/0817643869.

Metropolis, N., & Ulam, S. (1949). The Monte Carlo Method. Journal of the American Statistical Association 44 (247): 335–41. https://doi.org/10.1080/01621459.1949.10483310.

Neyman, J. (1923). Sur les applications de la theorie des probabilites aux experience agricoles: Essay de principes. Roczniki Nank Polniczek 10: 1–51. https://link.springer.com/chapter/10.1007/978-94-015-8816-4_10.

Pitman, E. J. G. (1937a). Significance Tests Which May Be Applied to Samples from Any Populations. Supplement to the Journal of the Royal Statistical Society 4 (1): 119–30. http://www.jstor.org/stable/2984124.

———. (1937b). Significance Tests Which May Be Applied to Samples from Any Populations. II. The Correlation Coefficient Test. Supplement to the Journal of the Royal Statistical Society 4 (2): 225–32. http://www.jstor.org/stable/2983647.

———. (1938). Significance Tests Which May Be Applied to Samples from Any Populations: III. The Analysis of Variance Test. Biometrika 29 (3/4): 322–35. http://www.jstor.org/stable/2332008.

Quenouille, M. H. (1949). Approximate Tests of Correlation in Time-Series. Journal of the Royal Statistical Society B, Methodological, 11 (1): 68–84. https://doi.org/10.1111/j.2517-6161.1949.tb00023.x.

Schrausser, D. G. (1996). Permutationstests: Theoretische und praktische Arbeitsweise von Permutationsverfahren beim unverbundenen 2 Stichprobenproblem. Universität Graz: Naturwissenschaftliche Fakultät. https://zenodo.org/records/11529663.

———. (2009). ThetaWin Overview. Software. Academia. https://www.academia.edu/81800920.

———.(2024). Schrausser/ConsoleApp_DistributionFunctions: Console applicationes for distribution functions (version v1.5.0). Zenodo. https://doi.org/10.5281/zenodo.7664141.