The Determination of a Complex Summary of Statistical Methods for the Best Fitted Regression or Trend Function Selection
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24310%2F16%3A00001016" target="_blank" >RIV/46747885:24310/16:00001016 - isvavai.cz</a>
Result on the web
<a href="https://msed.vse.cz/msed_2016/sbornik/toc.html" target="_blank" >https://msed.vse.cz/msed_2016/sbornik/toc.html</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
The Determination of a Complex Summary of Statistical Methods for the Best Fitted Regression or Trend Function Selection
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
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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Number of pages
11
Pages from-to
594-604
Publisher name
Libuše Macáková, MELANDRIUM, 2016
Place of publication
Praha
Event location
Praha
Event date
Jan 1, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000389515100059