Usuari:Lixiaoxu - Historial de revisió

116.77.168.69: /* Online calculator for critical values, cumulative probabilities, and critical noncentral parameters */

2009-07-06T16:29:37Z

Online calculator for critical values, cumulative probabilities, and critical noncentral parameters

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 cat('\nraw data')
 if (rawdata) (x);
 </pre>

2009-07-06T16:26:44Z

External links

← Versió més antiga		Revisió del 16:26, 6 jul 2009
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	==External links==		==External links==
	* [http://en.wikipedia.org/wiki/Noncentral_t-distribution Noncentral ''t''-distribution] on Wikipedia		* [http://en.wikipedia.org/wiki/Noncentral_t-distribution Noncentral ''t''-distribution] on Wikipedia
	* [http://en.wikipedia.org/wiki/Noncentral_chi-square_distribution Noncentral ~~<math>\~~chi~~^2</math>~~ distribution] on Wikipedia		* [http://en.wikipedia.org/wiki/Noncentral_chi-square_distribution Noncentral chi-square distribution] on Wikipedia
	* [http://en.wikipedia.org/wiki/Noncentral_F-distribution Noncentral ''F''-distribution] on Wikipedia		* [http://en.wikipedia.org/wiki/Noncentral_F-distribution Noncentral ''F''-distribution] on Wikipedia
	* [http://en.wikipedia.org/wiki/Effect_size#Confidence_interval_and_relation_to_noncentral_parameters Confidence interval of Effect Size] on Wikipedia		* [http://en.wikipedia.org/wiki/Effect_size#Confidence_interval_and_relation_to_noncentral_parameters Confidence interval of Effect Size] on Wikipedia

2009-07-06T16:24:18Z

Results

← Versió més antiga		Revisió del 16:24, 6 jul 2009
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	}		}

	pdf(rpdf, ~~horizontal=FALSE,~~ width=8, height=4)		pdf(rpdf, width=8, height=4)

2009-07-06T16:12:06Z

Power of F test for a given Cohen's \tilde{f}^2

← Versió més antiga		Revisió del 16:12, 6 jul 2009
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	For two-related-group case, the difference scores between each pair of samples can apply one-group mean test interface. Usually <math>\mu_{null}</math> is set to zero.		For two-related-group case, the difference scores between each pair of samples can apply one-group mean test interface. Usually <math>\mu_{null}</math> is set to zero.

	===Power of ~~<math>~~F~~</math>~~ test for a given Cohen's ~~<math>\tilde{~~f~~}^2</math>~~===		===Power of ''F'' test for a given Cohen's ''f''===
	Let's use <math>\tilde{f}^2</math> denote the population of Cohen's <math>f^2</math>, specially		Let's use <math>\tilde{f}^2</math> denote the population of Cohen's <math>f^2</math>, specially
	:<math>SS(\mu_1,\mu_2,\cdots,\mu_K) \over {K\times \sigma^2}</math>		:<math>SS(\mu_1,\mu_2,\cdots,\mu_K) \over {K\times \sigma^2}</math>

2009-07-06T16:10:33Z

Noncentral F

← Versió més antiga		Revisió del 16:10, 6 jul 2009
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	If ''df'' on this display is set to <math>\infty</math> (''Inf'' in R) and noncentral parameter set to 0, a standard normal distribution will be plotted and critical ''z'' score calculated.		If ''df'' on this display is set to <math>\infty</math> (''Inf'' in R) and noncentral parameter set to 0, a standard normal distribution will be plotted and critical ''z'' score calculated.

	===Noncentral ~~<math>~~F~~</math>~~===		===Noncentral ''F''===

	The noncentral parameter of ''F'' is only defined on its numerator. The noncentral ''F'' distributed		The noncentral parameter of ''F'' is only defined on its numerator. The noncentral ''F'' distributed

2009-07-06T16:10:08Z

Noncentral t

← Versió més antiga		Revisió del 16:10, 6 jul 2009
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	It is different from the random variable <math>V + ncp = \sum_{i=1}^{df}{Z_i}^2 + \sum_{i=1}^{df}{\mu_i}^2</math> of the respective central <math>\chi^2</math> distribution with a central drift.		It is different from the random variable <math>V + ncp = \sum_{i=1}^{df}{Z_i}^2 + \sum_{i=1}^{df}{\mu_i}^2</math> of the respective central <math>\chi^2</math> distribution with a central drift.

	===Noncentral ~~<math>~~t~~</math>~~===		===Noncentral t===
	For any given constant <math>\mu_0</math>,		For any given constant <math>\mu_0</math>,
	:<math> \frac{Z_0+\mu_0}{\sqrt{V/df }} =</math><math>\frac{Z_0+\mu_0}{\sqrt{\sum_{i=1}^{df}{Z_i}^2/df}}</math>		:<math> \frac{Z_0+\mu_0}{\sqrt{V/df }} =</math><math>\frac{Z_0+\mu_0}{\sqrt{\sum_{i=1}^{df}{Z_i}^2/df}}</math>

2009-07-06T16:09:02Z

z and noncentral distributions (\chi^2,t, and F)

← Versió més antiga		Revisió del 16:09, 6 jul 2009
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	</R>		</R>

	==~~<math>~~z~~</math>~~ and noncentral distributions (~~<math>\~~chi~~^2</math>~~,~~<math>~~t~~</math>~~, and ~~<math>~~F~~</math>~~)==		==''z'' and noncentral distributions (chi-square, t, and F)==
	===Noncentral ~~<math>\~~chi~~^2</math>~~===		===Noncentral chi-square===
	Let <math>Z_i</math>,''i''=0,1,2,... denote a series of independent random variables of standard normal distribution.		Let <math>Z_i</math>,''i''=0,1,2,... denote a series of independent random variables of standard normal distribution.
	:<math>V = \sum_{i=1}^{df}{Z_i}^2</math>		:<math>V = \sum_{i=1}^{df}{Z_i}^2</math>

2009-07-06T16:07:19Z

Results of critical statistic, cumulative probability, and critical noncentral parameter

← Versió més antiga		Revisió del 16:07, 6 jul 2009
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	q2 <- round(q2,digits);		q2 <- round(q2,digits);

	pdf(rpdf~~, horizontal=FALSE~~, width=5, height=5)		pdf(rpdf, width=5, height=5)
	main <- paste('Pr(',name,'<',x0,';df=',df,',ncp=',ncp,')=',q0,'\nPr(',name,'<',x1,';df=',df,',ncp=',ncp,')=',q1,'\nPr(',name,'<',x1,';df=',df,',ncp=',ncp2,')=',q2, sep='')		main <- paste('Pr(',name,'<',x0,';df=',df,',ncp=',ncp,')=',q0,'\nPr(',name,'<',x1,';df=',df,',ncp=',ncp,')=',q1,'\nPr(',name,'<',x1,';df=',df,',ncp=',ncp2,')=',q2, sep='')
	sub <-paste('\nnoncentral parameter = ',ncp,'(Red), ',ncp_c,'(Blue),\nand ',round(ncp2,digits),'(Black) which fits \nPr(',name,'<',x1,';ncp=',round(ncp2,digits),')=',round(q2,digits), sep='')		sub <-paste('\nnoncentral parameter = ',ncp,'(Red), ',ncp_c,'(Blue),\nand ',round(ncp2,digits),'(Black) which fits \nPr(',name,'<',x1,';ncp=',round(ncp2,digits),')=',round(q2,digits), sep='')

2009-07-06T16:03:57Z

2009-07-06T15:18:26Z

Regression of two columns of inputted data

← Versió més antiga		Revisió del 15:18, 6 jul 2009
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	== Regression of ~~two columns of inputted data~~ ==		== Regression of Inputted Data ==

	<Rform name="owndata">		<Rform name="owndata">
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	</R>		</R>



	== 回归分析课件 ==		== 回归分析课件 ==