نتایج جستجو برای: anova analyses
تعداد نتایج: 427588 فیلتر نتایج به سال:
But these experiments [2] will not give us any information about the dependence or independence of the two factors, namely study habit and home environment. In such cases, we resort to Factorial ANOVA which not only helps us to study the effect of two or more factors but also gives information about their dependence or independence in the same experiment. There are many types of factorial desig...
But these experiments [2] will not give us any information about the dependence or independence of the two factors, namely study habit and home environment. In such cases, we resort to Factorial ANOVA which not only helps us to study the effect of two or more factors but also gives information about their dependence or independence in the same experiment. There are many types of factorial desig...
Articles published in several prominent educational journals were examined to investigate the use of data-analysis tools by researchers in four research paradigms: between-subjects univariate designs, between-subjects multivariate designs, repeated measures designs, and covariance designs. In addition to examining specific details pertaining to the research design (e.g., sample size, group size...
مدل anova با m عامل تثبیت شده، اثرهای متقابل و جملات خطا را که لزوما دارای توزیع نرمال نیستند در نظر بگیرید. در این پایان نامه به بررسی حساسیت مجانبی آماره ی آزمون f برای آزمون اثرهای اصلی و متقابل پرداخته می شود، تحت این فرض که تعداد سطوح عامل a1 به بی نهایت میل می کند، در حالی که تعداد سطوح عوامل a2، a3 ....و am و تعداد تکرارها در هر ترکیب تیماری متناهی است. فرض کنید واریانس جملات خطا در بی...
The F test used in analysis of variance (ANOVA) is called an omnibus test because it can detect only the presence or the absence of a global effect of the independent variable on the dependent variable. However, in general we want to draw specific conclusions from the results of an experiment. Specific conclusions are derived from focused comparisons which are, mostly, implemented as contrasts ...
The performance of face recognition algorithms is recently of increased interest. Empirical analyses of algorithms have traditionally been limited to rank-based scores such as cumulative match and receiver operating characteristics. This restriction to performance measures based on rank-based statistics arises because it is not possible to directly compare similarities output by algorithms. Thi...
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