Any hypothesis test in which the statistic has an F distribution under the null hypothesis.

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1answer
68 views

F test for equality of variances

I know that the test statistic is $$F=S_1^2/S_2^2 $$ But I am looking at some example questions from my lecturer and some have confused me. For example: For a certain game, individual game scores ...
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0answers
53 views

Preforming an F-test; comparing two STATA regressions

I'm doing an introductory course on econometrics, it's been so long since I took a course in statistics that I guess I've forgotten a few essential things. I'm working through some exams for this ...
1
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1answer
73 views

Multiple hypothesis testing and F tests?

Does the multiple hypothesis testing problem apply to the calculation of an F statistic for joint significance? It seems to me that the more variables you are including in your test for joint ...
0
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1answer
469 views

How do I interpret the results from the F-test in excel

I have a fairly simple question regarding the interpretation of the F-test in Microsoft Excel. Let't say these are the results of my F-test: http://i.imgur.com/ZLzEQih.jpg I am now wondering how to ...
3
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0answers
89 views

Unbiased hypothesis tests

Is there some textbook or expository account showing that the definition of "unbiased test" bears the same sort of relation to "unbiased estimator" that interval estimation generally bears to ...
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0answers
52 views

Symmetric measure of variable contribution to a regression

Take a linear regression setup with two "blocks" of predictors. The typical measures for the contribution of each block over the other are asymmetric (say, likelihood change, RSS change etc.). Is ...
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72 views

Computing the LRT and Wald test from a subset of informations

The answer might be really easy, but I have got some doubts about it. These are all the informations I have. ...
2
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0answers
140 views

When to use likelihood ratio test vs. incremental F-test in nested nonlinear model selection?

I have two nested nonlinear models and I want to know which provides a better fit to some data. I see descriptions of both the likelihood ratio test and of the incremental F-test (also called the ...
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0answers
275 views

Question about Hausman-test for endogeneity with two endogenous regressors with potential heteroscedasticity

First question: Is the following example of computing the Hausman-test for endogenity with two endogenous regressors adequate? Second question: Is it true that in case of heteroscedasticity, i.e. ...
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135 views

How to perform F test for multiple regression: $H_0: \beta_i = 0$ [closed]

This is for a homework that I'm supposed to do in SAS, but doing in R instead. I want to perform an F-test for $H_0: \beta_i = 0$ for all $\beta_i$, all slopes equal to 0. I have a linear model ...
3
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1answer
148 views

Why are different answers obtained for a regression F-test when using SSE and R2 formulas?

I cannot understand what I'm doing wrong with an F-test for the regression - I get completely different answers using SSE and R2 formulas. Unrestricted model: Restricted model: 1 restriction is ...
3
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0answers
205 views

Mean comparisons following multiple imputation

I need to do some simple mean comparisons between groups (basic F-test ANOVA) on data with missing values. I use R mice package for multiple imputation, but I can only pool results for the linear ...
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130 views

How to test equality of variances with circular data

I am interested in comparing the amount of variability within 8 different samples (each from a different population). I am aware that this can be done by several methods with ratio data: F-test ...
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2answers
2k views

How to interpret the confidence interval of a variance F-test using R?

I'm trying to understand the confidence interval returned by the function var.test() in R. More specifically, the confidence interval returned by var.test() is not the one I find when doing the ...
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1answer
550 views

Is a partial F-Test on a model reduced by only one variable valid?

For a recent project, I used multiple linear regression to model data. I attempted to choose between my initial full model and a reduced model by performing a partial F-test. The models used were the ...
3
votes
1answer
109 views

Am I getting something wrong? A question about a paper on the F-test

First, I'm sorry for the long post, but I needed a second opinion from you, the experts, about this problem! I was reading a paper by Gallagher (2006), where he puts an example on "how one may ...
3
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3answers
265 views

Does the p-value in the incremental F-test determine how many trials I expect to get correct?

I've implemented an incremental F-test program that evaluates the fit of an unrestricted model $M_{UR}$ against the restricted model $M_R$ using the F statistic $\frac{SSE_{R} - ...
4
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3answers
854 views

Calculating the $p$-value of an $F$- statistic

I am trying to implement an algorithm for calculating $p$-values of $F$-tests and I need this method to be highly precise. It is easy to implement this with $z$- or $t$- tables, however I don't know ...
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0answers
32 views

Interpreting the results of an analysis [duplicate]

Possible Duplicate: How to interpret basic output from a regression analysis? I am wondering what does the following stand for: F( 2, 27) = 19.73. As far as I understand his has to do with ...
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104 views

Fisher's criterion distribution

My task is to show that Fisher's criterion distribution when the null hypothesis is true follows $F(k-m,N-k)$ when df increases. Here $k-m$ is number of restriction. So I can write a null hypothesis ...
0
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1answer
1k views

Not-significant F but a significant coefficient in multiple linear regression

I have a regression with two continuous predictors and one dichotomous predictor in Model 1 and two interactions of each of the continuous predictors with the dichotomous predictor in Model 2. The ...
5
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0answers
541 views

Sample size formula for an F-test?

I am wondering if there is a sample size formula like Lehr's formula that applies to an F-test? Lehr's formula for t-tests is $n = 16 / \Delta^2$, where $\Delta$ is the effect size (e.g. $\Delta = ...