User Vishaal Sudarsan

5 votes

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Complete sufficient statistic and unbiased estimator

answered Jun 18, 2019 at 6:56

4 votes

t-test for pearson correlation coeffcient

answered Jul 13, 2019 at 14:45

3 votes

$X，Y$ i.i.d. $N(0,\sigma^2)$. What's the probability of $P(X>|2Y|)$?

answered Feb 26, 2018 at 8:36

2 votes

Markov-Chain transition probabilities for 3 variables

answered Feb 3, 2018 at 16:36

2 votes

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Geometric Distribution

answered Feb 3, 2018 at 17:03

2 votes

Accepted

Difference between conditioned and conditioning variable?

answered Mar 16, 2018 at 15:42

2 votes

Finding $\mathsf P(\textbf{Y}\mid\textbf{Z})$ where $Z_1,Z_2,\ldots,Z_n$ are conditionally independent

answered Oct 12, 2019 at 8:07

2 votes

Multiple Linear Regression Coefficient Estimators and Hypothesis Testing

answered Apr 12, 2020 at 13:49

1 vote

Accepted

How to prove or disprove that $T(X_{1},X_{2}) = X_{1} + X_{2}$ is a sufficient statistic

answered May 17, 2019 at 4:56

1 vote

Linear Combinations of Least Square Estimator

answered Jul 16, 2019 at 7:47

1 vote

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Difference in R-squared observed from statsmodels when WLS is used

answered Feb 26, 2018 at 8:16

1 vote

Expected Number of Repetitions

answered Mar 13, 2018 at 6:38

0 votes

What is the expected value of $X$ given $X<Y$, where $X,Y\sim\mathcal{N}(\mu,\sigma^2)$?

answered Mar 16, 2018 at 14:02

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13 Answers

Complete sufficient statistic and unbiased estimator

t-test for pearson correlation coeffcient

$X，Y$ i.i.d. $N(0,\sigma^2)$. What's the probability of $P(X>|2Y|)$?

Markov-Chain transition probabilities for 3 variables

Geometric Distribution

Difference between conditioned and conditioning variable?

Finding $\mathsf P(\textbf{Y}\mid\textbf{Z})$ where $Z_1,Z_2,\ldots,Z_n$ are conditionally independent

Multiple Linear Regression Coefficient Estimators and Hypothesis Testing

How to prove or disprove that $T(X_{1},X_{2}) = X_{1} + X_{2}$ is a sufficient statistic

Linear Combinations of Least Square Estimator

Difference in R-squared observed from statsmodels when WLS is used

Expected Number of Repetitions

What is the expected value of $X$ given $X<Y$, where $X,Y\sim\mathcal{N}(\mu,\sigma^2)$?