نتایج جستجو برای: testing normality assumption
تعداد نتایج: 427623 فیلتر نتایج به سال:
It is often assumed that similar domain-specific behavioural impairments found in cases of adult brain damage and developmental disorders correspond to similar underlying causes, and can serve as convergent evidence for the modular structure of the normal adult cognitive system. We argue that this correspondence is contingent on an unsupported assumption that atypical development can produce se...
The purpose of this study is to analyze the effect NOM and BOPO on profitability Islamic banks in Indonesia at same time impact covid-19 as a moderating variable. analysis tool fulfill goodness fit model uses classical assumption test including normality test; multicollinearity heteroscedasticity autocorrelation linearity test. Path direct indirect relationships, regression (MRA), hypothesis te...
This study intends to ascertain the effects of product innovation, brand trust, and variety on Honda Beat motorcycle purchases in Surakarta. employed a quantitative methodology. The method sampling that involves questionnaire. statistical analysis stage data collection employs usage instrument testing (validity reliability tests), hypothesis conventional assumption test (normality test, multico...
Broadly, this research aims to find out how free variables affect Investment, Net Exports and Government Spending on Indonesia's Economic Growth. The type of data used is annual starting from 2000 2019. methods are Partial Adjustment Model (PAM), Hypothesis Test Classic Assumption Test. results the classic assumption test show that normality in study meets normality, auto correlation did not ha...
Most approaches to learning from incomplete data are based on the assumption that unobserved values are missing at random (mar). While the mar assumption, as such, is not testable, it can become testable in the context of other distributional assumptions, e.g. the naive Bayes assumption. In this paper we investigate a method for testing the mar assumption in the presence of other distributional...
Diagnostic biomarkers are used frequently in epidemiologic and clinical work. The ability of a diagnostic biomarker to discriminate between subjects who develop disease (cases) and subjects who do not (controls) is often measured by the area under the receiver operating characteristic curve (AUC). The diagnostic biomarkers are usually measured with error. Ignoring measurement error can cause bi...
BACKGROUND Wasting is a major public health issue throughout the developing world. Out of the 6.9 million estimated deaths among children under five annually, over 800,000 deaths (11.6 %) are attributed to wasting. Wasting is quantified as low Weight-For-Height (WFH) and/or low Mid-Upper Arm Circumference (MUAC) (since 2005). Many statistical procedures are based on the assumption that the data...
Misconceptions about the assumptions behind the standard linear regression model are widespread and dangerous. These lead to using linear regression when inappropriate, and to employing alternative procedures with less statistical power when unnecessary. Our systematic literature review investigated employment and reporting of assumption checks in twelve clinical psychology journals. Findings i...
نمودار تعداد نتایج جستجو در هر سال
با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید