This paper derives asymptotic normality of a class of M-estimators in the generalized autoregressive conditional heteroskedastic ~GARCH! model+ The class of estimators includes least absolute deviation and Huber’s estimator in addition to the well-known quasi maximum likelihood estimator+ For some estimators, the asymptotic normality results are obtained only under the existence of fractional u...

There are still many teachers who have not been able to act professionally. Lack of emotional intelligence and motivation complete tasks hampers teacher performance. This research was an ex post facto research. The population in the study involved 46 respondents. techniques used collect data observation, interviews, questionnaires. instrument analyzing is a questionnaire. analysis method consis...

Asymptotic robustness against misspecification of the underlying distribution for the polychoric correlation estimation is studied. The asymptotic normality of the pseudo-maximum likelihood estimator is derived using the two-step estimation procedure. The t distribution assumption and the skew-normal distribution assumption are used as alternatives to the normal distribution assumption in a num...

This paper considers the bivariate probit model's identifying assumptions: linear index specification, joint normality of errors, instrument exogeneity, and relevance. First, we develop sharp testable equalities that detect all possible observable violations assumptions. Second, propose an easy-to-implement testing procedure for validity using existing inference methods intersection bounds. The...

Goodness-of-fit tests are proposed for the assumption of normality of random errors in experimental designs where the variance of the response may vary with the levels of the covariates. The exact distribution of standardized residuals is used to make the probability integral transform for use in tests based on the empirical distribution function. A different mean and variance is estimated for ...

Testing multivariate normality is an ever-lasting interest in the goodness-of-fit area since classical Pearson’s chi-squared test. Among numerous approaches construction of tests for normality, normal characterization one common approaches, which can be divided into necessary and sufficient necessary-only characterization. We construct a test by combining idea statistical representative points ...

This study empirically examines the Effect of E-Filling on Taxpayer Compliance and Understanding Internet Moderating Compliance. research is a quantitative that uses primary data from questionnaires to collect data. study's population Individual Taxpayers registered as at KPP South Makassar, with many 29,372 taxpayers. The sampling technique used in this was random sampling. number samples 100 ...

In order to make statistical inference, that is drawing conclusions from a sample to describe a population, it is crucial to know the correct distribution of the data. This paper focused on censored data from the normal distribution. The purpose of this paper was to answer whether we can test if data comes from a censored normal distribution. This by using normality tests and tests designed for...