I have been trying to write the program that -rolling- can call in order todo regression and hypothesis testing in one go. However, I am having aproblem in the hypothesis testing part as I want to test the significanceof the difference between an estimated coefficient and a variable, say, ...
Hypothesis testing of regression parameters in semiparametric generalized linear models for cluster correlated data. Biometrika, 77 (3), 485-497... M Ribatet,D Cooley,AC Davison - 《Stata Sinica》 被引量: 150发表: 2012年 Joint Regression Analysis of Correlated Data Using Gaussian Copulas We ...
Hypothesis testing in rank-size rule regression This note examines testing methods for Paretoness in the framework of rank-size rule regression. Rank-size rule regression describes a relationship found i... Y Konishi,Y Nishiyama - 《Mathematics & Computers in Simulation》 被引量: 16发表: 2009年...
In this study, multiple linear regression equations were constructed with the compliance cost effect, innovation compensation effect, weak Porter hypothesis effect, and strong Porter hypothesis effect as the dependent variables, and 729 sample data points were used to empirically test the Porter hypothesi...
Bersvendsen T, Ditzen J (2021) Testing for slope heterogeneity in Stata. Stand Genomic Sci 21(1):51–80.https://doi.org/10.1177/1536867X211000004 ArticleGoogle Scholar Bilgili F, Ulucak R (2018) Is there deterministic, stochastic, and/or club convergence in ecological footprint indicator am...
The ADF test used a regression with only one additional lag. Example 3: Pedroni cointegration test with a common AR parameter The alternative hypothesis in example 2 allows for panel-specific AR parameters. In this example, we use the ar(same) option to specify an alternative hypothesis that ...
(2022) assessed the impression of nuclear energy on environmental degradation in the case of top nuclear power-consuming territories. The authors employed the quantile-on-quantile (QQ) regression technique and identified that nuclear energy consumption significantly ameliorated environmental integrity among ...
Consequently, the coefficient in the regression model has to be positive if it points in the anticipated direction. Keeping this in mind is essential for interpreting the factor and the overall results of this regression analysis as previous studies partly formulated this relationship as a negative ...
Antibody titres were reported as endpoint reciprocal titres, and analysed using univariate and multivariable regression models in STATA and SPSS. Univariate regression models were used to assess the effect of individual traits (weight, age, sex, reproductive status and time) on the odds of being ser...
Prior to the data analysis for both hypothesis tests, a logistic regression was employed to estimate the association between marital status and SRH and variables in cross-sectional analyses of waves 1 and 2 separately (see Additional file 1: Table 2 and Additional file 1: Table 3)...