The Determination of a Complex Summary of Statistical Methods for the Best Fitted Regression or Trend Function Selection

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

The Determination of a Complex Summary of Statistical Methods for the Best Fitted Regression or Trend Function Selection

Popis výsledku v původním jazyce

One of the problems which can arise during the process of looking for the best fitted regression or trend model with the help of various kinds of statistical methods is the fact that the conclusions resulting from the different approaches application are not in correspondence in many cases. This problem comes forth in the courses of statistics, for example. Basic courses of statistics present the best fitted function selection with the help of overall F test, t tests, coefficient of determination and some other statistics. In master degree students can learn other methods, especially Durbin-Watson test. But the results of Durbin-Watson test are often in disharmony with tradicionally used F test and t tests and students are then confused and they are not able to make a clear conclusion of the process of the best fitted function selection. The aim of this paper is a creation of the complex procedure for the best fitted regression or trend function selection which allow us to combine various aspects and procedures leading to the best fitted model determination. The paper also includes a manual for the situations when the results of various kinds of statistical methods do not comply.

Název v anglickém jazyce

The Determination of a Complex Summary of Statistical Methods for the Best Fitted Regression or Trend Function Selection

Popis výsledku anglicky

One of the problems which can arise during the process of looking for the best fitted regression or trend model with the help of various kinds of statistical methods is the fact that the conclusions resulting from the different approaches application are not in correspondence in many cases. This problem comes forth in the courses of statistics, for example. Basic courses of statistics present the best fitted function selection with the help of overall F test, t tests, coefficient of determination and some other statistics. In master degree students can learn other methods, especially Durbin-Watson test. But the results of Durbin-Watson test are often in disharmony with tradicionally used F test and t tests and students are then confused and they are not able to make a clear conclusion of the process of the best fitted function selection. The aim of this paper is a creation of the complex procedure for the best fitted regression or trend function selection which allow us to combine various aspects and procedures leading to the best fitted model determination. The paper also includes a manual for the situations when the results of various kinds of statistical methods do not comply.

Druh

D - Stať ve sborníku

CEP obor

BB - Aplikovaná statistika, operační výzkum

OECD FORD obor

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Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

The 10th International Days of Statistics and Economics. Conference Proceedings. September 8-10, 2016, Prague

ISBN

978-80-87990-10-0

ISSN

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e-ISSN

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Počet stran výsledku

11

Strana od-do

594-604

Název nakladatele

Libuše Macáková, MELANDRIUM, 2016

Místo vydání

Praha

Místo konání akce

Praha

Datum konání akce

1. 1. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000389515100059