network profile
| bio | website | |
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| location | ||
| age | ||
| visits | member for | 11 months |
| seen | May 2 at 2:42 | |
| stats | profile views | 4 |
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Apr 9 |
comment |
Discrete distribution fitting @whuber, It means I have to use mixture models and I can not fit my data with famous discrete distribution. Because Just for generalization, I want to simulate large sample data from a famous discrete distribution. |
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Apr 8 |
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Discrete distribution fitting deleted 3 characters in body |
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Apr 8 |
revised |
Discrete distribution fitting added 611 characters in body |
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Apr 8 |
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Discrete distribution fitting My sample size is 291. why always my critical value is less than t-statistic of GOF tests? |
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Apr 8 |
asked | Discrete distribution fitting |
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Mar 22 |
awarded | Notable Question |
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Dec 3 |
awarded | Popular Question |
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Jun 6 |
awarded | Supporter |
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Jun 4 |
accepted | Minimum number of observations for multiple linear regression |
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Jun 3 |
comment |
Methods to find the relationships between independent and dependent variables instead of regression @macro: my observation is 21 and my variables are 5.my complete question is my previous question stats.stackexchange.com/questions/29612/… |
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Jun 3 |
awarded | Scholar |
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Jun 2 |
awarded | Student |
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Jun 2 |
revised |
Methods to find the relationships between independent and dependent variables instead of regression deleted 4 characters in body |
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Jun 2 |
asked | Methods to find the relationships between independent and dependent variables instead of regression |
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Jun 1 |
revised |
Minimum number of observations for multiple linear regression added 504 characters in body |
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Jun 1 |
comment |
Minimum number of observations for multiple linear regression But regarding the most important independent variable I agree more with @Ben Bolker .Now is it the correct conclusion (t-test suggest me variable 4and 5 are significant but according to CIs only variable 5 is important)? |
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Jun 1 |
comment |
Minimum number of observations for multiple linear regression From the discussions I think due to lack of enough observation and absence of the most important independent variable in my data set I must get conclusion: 1-The significant variables are not the variable which has passed the t-test. The significant one is one which passes the t-test and its confidence interval is not including 0. 2-The normality of residual must be checked. 3-The correlation matric must be checked. |
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Jun 1 |
revised |
Minimum number of observations for multiple linear regression added 288 characters in body |
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Jun 1 |
comment |
Minimum number of observations for multiple linear regression Thanks for the comment, but I don’t understand what the point of checking confidence interval is? |
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Jun 1 |
comment |
Minimum number of observations for multiple linear regression Thank for your suggestion . I added my correlation matrix. Do you think with this correlation matrix doing regression is reasonable? Just emphasize that I cannot collect more data and also I don’t want to model or predict. Just I want to find any possible relation between independent variables and dependent variable. |
