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Trend in time series, Advanced Statistics
methods of determining trend in time series?
Posted Date: 5/12/2013 2:16:20 AM | Location : USA
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SCATTER DIAGRAM, MEANING ,IMPORTANCE AND RELEAVANCE OF SCATTER DIAGRAM
MEANING ,IMPORTANCE AND RELEAVANCE OF SCATTER DIAGRAM
Explain interim analyses, Interim analyses : An analysis made before the pl...
Interim analyses : An analysis made before the planned end of a clinical trial, typically with the aim of detecting the treatment differences at the early stage and thus preventing
Marginal matching, Marginal matching is the matching of the treatment grou...
Marginal matching is the matching of the treatment groups in terms of means or other summary characteristics of matching variables. This has been shown to be almost as efficient a
Projection pursuit, Projection pursuit is a procedure for attaning a low-d...
Projection pursuit is a procedure for attaning a low-dimensional (usually two-dimensional) representation of the multivariate data, which will be particularly useful in revealing
Chi-squared distribution, Chi-squared distribution : It is the probability ...
Chi-squared distribution : It is the probability distribution, f (x), of the random variable de?ned as the sum of squares of the number (v) of independent standard normal variables
Treatment allocation ratio, Treatment allocation ratio is the ratio of the...
Treatment allocation ratio is the ratio of the number of subjects allocated to the two treatments in a clinical trial. The equal allocation is most usual in practice, but it might
Tests for heteroscedasticity, Lagrange Multiplier (LM) test The Null Hy...
Lagrange Multiplier (LM) test The Null Hypothesis - H0: There is no heteroscedasticity i.e. β 1 = 0 The Alternative Hypothesis - H1: There is heteroscedasticity i.e. β 1
What is harris and stevens forecasting, Harris and Stevens forecasting is ...
Harris and Stevens forecasting is the method of making short term forecasts in the time series which is subject to abrupt changes in pattern and the transient effects. Instances o
Bioinformatics, Bioinformatics : Essentially the application of the informa...
Bioinformatics : Essentially the application of the information theory to biology to deal with the deluge of the information resulting from the advances in molecular biology. The m
Log-linear models, Log-linear models is the models for count data in which...
Log-linear models is the models for count data in which the logarithm of expected value of a count variable is modelled as the linear function of parameters; the latter represent
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