Development of the project duration regression model of preparing women-boxers to competitions

Authors

  • Сергей Борисович Приходько National University of Shipbuilding named after admiral Makarov Geroev Stalingrada, 9, Mykolaiv, Ukraine, 54025, Ukraine
  • Наталія Володимирівна Князь Admiral Makarov National University of Shipbuilding, Ukraine Heroyiv Stalinhrada Ave., 9, Nikolaev, Ukraine, 54025, Ukraine https://orcid.org/0000-0002-8526-8203

DOI:

https://doi.org/10.15587/1729-4061.2015.38674

Keywords:

time management, Johnson transformation, regression model, logarithmic transformation

Abstract

The regression model of the duration of the projects of preparing women-boxers to competitions based on training duration was considered. The aim of the research is developing of non-linear project duration regression model of preparing women-boxers to competitions based on training duration using Johnson transformation. The empirical data of training duration and empirical data of duration of preparing to women boxers to competitions were analyzed using mathematical statistic methods. The regression model was developed based on Johnson transformation using regression analysis methods. Regression model development approach based on Johnson transformation vs. approach based on common logarithmic transformation was compared. Non-linear regression model of duration of projects of preparing women boxers to competitions based on Johnson transformation have better characteristics than the model based on common logarithmic transformation. Therefore, the application of regression model based on Johnson transformation for duration estimation of projects of preparing women-boxers to competitions was recommended. At the present stage the research is the actual because it will enhance the effectiveness of training women-boxers to competitions because it will improve sportsmanship of boxers and enable them to achieve better results in competitions.

Author Biographies

Сергей Борисович Приходько, National University of Shipbuilding named after admiral Makarov Geroev Stalingrada, 9, Mykolaiv, Ukraine, 54025

Dr.S., lecturer

Department of automated systems software

Наталія Володимирівна Князь, Admiral Makarov National University of Shipbuilding, Ukraine Heroyiv Stalinhrada Ave., 9, Nikolaev, Ukraine, 54025

graduate student

The department of automated systems software

References

  1. style='mso-bidi-font-size:14.0pt;mso-ansi-language:UK'>
  2. field-begin'> REF _Ref411603599 h
  3. * MERGEFORMAT
  4. field-separator'>1
  5. 08D0C9EA79F9BACE118C8200AA004BA90B02000000080000000E0000005F005200650066003400310031003600300033003500390039000000
  6. 0pt;mso-ansi-language:UK'>.Dilennya,M.O., Ost"yanov,V.N., Komisarenko,H.I. (2009). Boks: Zhinky. Navchal'na prohrama dlya dytyacho-yunats'kykh sportyvnykh shkil, spetsializovanykh dytyacho-yunats'kykh shkil olimpiys'koho rezervu, shkil vyshchoyi sportyvnoyi maysternosti. Kiev: Natsional'nyy Olimpiys'kyy komitet Ukrayiny, 112.
  7. style='mso-bidi-font-size:14.0pt;mso-ansi-language:UK'>
  8. field-begin'> REF _Ref411532391 h
  9. * MERGEFORMAT
  10. field-separator'>2
  11. 08D0C9EA79F9BACE118C8200AA004BA90B02000000080000000E0000005F005200650066003400310031003500330032003300390031000000
  12. 0pt;mso-ansi-language:UK'>.A guide to the project management body of knowledge. Fifth edition (2013). Project Management Institute, 589.
  13. style='mso-bidi-font-size:14.0pt;mso-ansi-language:UK'>
  14. field-begin'> REF _Ref411535775 h
  15. * MERGEFORMAT
  16. field-separator'>3
  17. 08D0C9EA79F9BACE118C8200AA004BA90B02000000080000000E0000005F005200650066003400310031003500330035003700370035000000
  18. 0pt;mso-ansi-language:UK'>.Prykhodko,S.B., Knyaz,N.V. (2014). Vybir normalizuyuchoho peretvorennya dlya interval'noho otsinyuvannya chasu vykonannya proektiv pidhotovky bokseriv-zhinok do zmahan'. Zb. nauk. prats' NUK. Mykolayiv: NUK, 5 (455), 87–91.
  19. style='mso-bidi-font-size:14.0pt;mso-ansi-language:UK'>
  20. field-begin'> REF _Ref411532122 h
  21. * MERGEFORMAT
  22. field-separator'>4
  23. 08D0C9EA79F9BACE118C8200AA004BA90B02000000080000000E0000005F005200650066003400310031003500330032003100320032000000
  24. 0pt;mso-ansi-language:UK'>. Demydenko, E. Z. (1981). Lyneynaya y nelyneynaya rehressyy. Moscow: Fynansy y statystyka, 302.
  25. style='mso-bidi-font-size:14.0pt;mso-ansi-language:UK'>
  26. field-begin'> REF _Ref411531867 h
  27. * MERGEFORMAT
  28. field-separator'>5
  29. 08D0C9EA79F9BACE118C8200AA004BA90B02000000080000000E0000005F005200650066003400310031003500330031003800360037000000
  30. 0pt;mso-ansi-language:UK'>.Bates, D., Donald, W. (1988). Nonlinear Regression Analysis and Its Applications. Wiley, 384.
  31. style='mso-bidi-font-size:14.0pt;mso-ansi-language:UK'>
  32. field-begin'> REF _Ref411532217 h
  33. * MERGEFORMAT
  34. field-separator'>6
  35. 08D0C9EA79F9BACE118C8200AA004BA90B02000000080000000E0000005F005200650066003400310031003500330032003200310037000000
  36. 0pt;mso-ansi-language:UK'>.Pardoe, I. (2012). Applied regression modeling. Wild, 325.doi: 10.1002/9781118345054
  37. style='mso-bidi-font-size:14.0pt;mso-ansi-language:UK'>
  38. field-begin'> REF _Ref411532275 h
  39. * MERGEFORMAT
  40. field-separator'>7
  41. 08D0C9EA79F9BACE118C8200AA004BA90B02000000080000000E0000005F005200650066003400310031003500330032003200370035000000
  42. 0pt;mso-ansi-language:UK'>.George, A.F., Seber,C.J. (2003). Nonlinear Regression. John Wiley & Sons, Inc., 792.
  43. style='mso-bidi-font-size:14.0pt;mso-ansi-language:UK'>
  44. field-begin'> REF _Ref411532447 h
  45. * MERGEFORMAT
  46. field-separator'>8
  47. 08D0C9EA79F9BACE118C8200AA004BA90B02000000080000000E0000005F005200650066003400310031003500330032003400340037000000
  48. 0pt;mso-ansi-language:UK'>.Ryan, T. P. (2008). Modern Regression Methods, Wiley, 672.
  49. 9.Prykhodko,S.B., Pukhalevych,A.V. (2014). Rozrobka neliniynykh rehresiynykh modeley tryvalosti prohramnykh proektiv na osnovi peretvorennya Dzhonsona. Zbirnyk naukovykh prats' NUK, Mykolayiv : NUK, 2, 76–80.
  50. style='mso-bidi-font-size:14.0pt;mso-ansi-language:UK'>
  51. field-begin'> REF _Ref309837962 h
  52. * MERGEFORMAT
  53. field-separator'>10
  54. 08D0C9EA79F9BACE118C8200AA004BA90B02000000080000000E0000005F005200650066003300300039003800330037003900360032000000
  55. 0pt;mso-ansi-language:UK'>. Prykhodko,S.B. (2011). Interval'ne otsinyuvannya statystychnykh momentiv nehausivs'kykh vypadkovykh velychyn na osnovi normalizuyuchykh peretvoren'. Naukovyy zhurnal “Matematychne modelyuvannya”. Dniprodzerzhyns'k, 1 (24), 9–13.
  56. style='mso-bidi-font-size:14.0pt;mso-ansi-language:UK'>
  57. field-begin'> REF _Ref411531198 h
  58. * MERGEFORMAT
  59. field-separator'>11
  60. 08D0C9EA79F9BACE118C8200AA004BA90B02000000080000000E0000005F005200650066003400310031003500330031003100390038000000
  61. 0pt;mso-ansi-language:UK'>.Johnson,N.L. (1949). System of Frequency Curves Generated by Methods of Translation. Biometrica, 36, 149–176.doi: 10.2307/2332539
  62. style='mso-bidi-font-size:14.0pt;mso-ansi-language:UK'>
  63. field-begin'> REF _Ref380699164 h
  64. * MERGEFORMAT
  65. field-separator'>12
  66. 08D0C9EA79F9BACE118C8200AA004BA90B02000000080000000E0000005F005200650066003300380030003600390039003100360034000000
  67. 0pt;mso-ansi-language:UK'>.Prykhodko,S.B., Makarova,L.N. (2012). Analytycheskaya zavysymost' dlya vibora raspredelenyya Dzhonsona semeystva SL. Vestnyk KhNTU, 2 (45), 101–104.

Published

2015-04-23

How to Cite

Приходько, С. Б., & Князь, Н. В. (2015). Development of the project duration regression model of preparing women-boxers to competitions. Eastern-European Journal of Enterprise Technologies, 2(4(74), 16–20. https://doi.org/10.15587/1729-4061.2015.38674

Issue

Section

Mathematics and Cybernetics - applied aspects