Temat: random coefficient regression - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Combining random coefficient regression with the Potthoff and Roy model in growth curve analysis
Łączenie modelu regresji z losowymi współczynnikami z modelem Potthoffa i Roya w analizie krzywej wzrostu
Autorzy:: Rosen, Dietrich von
Powiązania:: https://bibliotekanauki.pl/articles/905018.pdf
Data publikacji:: 1993
Wydawca:: Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Tematy:: Growth curve analysis
Potthoff Roy model
random coefficient regression
Opis:: W pracy tej połączono koncepcje modelowania danych generowanych wg krzywej wzrostu z modelami regresji o losowych współczynnikach. Zasadniczo, zostają rozszerzone wyniki pracy dyplomowej (Lundbуe-Christiansena (1988)). Pokazano, że kiedy występują pewne powiązania pomiędzy strukturą średniej i strukturą kowariancji, możliwe jest uzyskanie prostych algorytmów, prowadzących do estymatorów bez żadnych uciążliwych obliczeń.
In this paper ideas when modelling growth curve data with a random coefficient regression model are put together with ideas from the application of the Grówth Curve model. In general, results from [Lundbуe- - Christensen (1988)] are extended. It is shown that when there exist certain connections between the mean structure and the covariance structure it is possible to obtain straightforward algorithms, leading to estimators without any heavy calculations.
Źródło:: Acta Universitatis Lodziensis. Folia Oeconomica; 1993, 132
0208-6018
2353-7663
Pojawia się w:: Acta Universitatis Lodziensis. Folia Oeconomica
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: The Relationship Between Middle Income Trap and Structural Transformation: The Case of Selected Countries
Autorzy:: Soyyiğit, Semanur
Powiązania:: https://bibliotekanauki.pl/articles/2076006.pdf
Data publikacji:: 2019
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: middle-income trap
structural transformation
economic complexity index
per capita GDP
random coefficient panel regression model
Opis:: Many studies on middle income trap draw attention to the product trap that can be expressed as the fact that countries are stuck in the production and export of unsophisticated products. In this sense, it is stated that the role of a country in the production and export of sophisticated goods is one of the determinant factors to increase the level of income. In the literature, the concept of economic complexity, which is expressed as gaining competitiveness of complex products in terms of production and export, is noteworthy in recent years. In this framework, relationship between the per capita GDP and the economic complexity is examined with regression analysis in this study for selected countries with high-level of income. In the analysis, in which random coefficient panel regression model is applied, a significant relationship was found between the two variables for Austria, Finland, Hong Kong, Japan, Norway, Singapore and Sweden.
Źródło:: Central European Journal of Economic Modelling and Econometrics; 2019, 4; 217-235
2080-0886
2080-119X
Pojawia się w:: Central European Journal of Economic Modelling and Econometrics
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Improved Estimators of Coefficient of Variation in a Finite Population
Autorzy:: Archana, V.
Aruna Rao, K.
Powiązania:: https://bibliotekanauki.pl/articles/465691.pdf
Data publikacji:: 2011
Wydawca:: Główny Urząd Statystyczny
Tematy:: Model based comparison
Coefficient of Variation
Simple Random Sampling Regression estimator
Mean Square Error
Confidence interval
Opis:: Coefficient of Variation (C.V) is a unitless measure of dispersion. Hence it is widely used in many scientific and social investigations. Although a lot of work has been done concerning C.V in the infinite population models, it has been neglected in the finite populations. Many areas of applications of C.V involves the finite populations like the use in official statistics and economic surveys of the World Bank. This has motivated us to propose six new estimators of the population C.V. In finite population studies regression estimators are widely used and the idea is exploited to propose the new estimators. Three of the proposed estimators are the regression estimators of the C.V for the study variable while the other three estimators makes use of the regression estimators of population mean and variance to estimate the ratio , the population C.V for the study variable. The bias and mean square error (MSE) of these estimators were derived for the simple random sampling design. The performance of these estimators is compared using two real life data sets. The simulation is carried out to compare the estimators in terms of coverage probability and the length of the confidence interval. The small sample comparison indicates that two of the proposed estimators perform better than the sample C.V. The regression estimator using the information on the Population C.V of the auxiliary variable emerges as the best estimator.
Źródło:: Statistics in Transition new series; 2011, 12, 2; 357-380
1234-7655
Pojawia się w:: Statistics in Transition new series
Dostawca treści:: Biblioteka Nauki

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