62 Statistics
| Name | Tag | Kind | MSC |
|---|---|---|---|
| Prior probability | 00NBBSXRQS | concept | 62F15 |
| Bias of an estimator | 01BD2TFFP4 | definition | 62F10 |
| Covariance matrix | 02CBHV4ZZQ | definition | 62H05 |
| Statistic | 036756NFD6 | definition | 62A01 |
| Type I and type II errors | 03N8C8ZR4B | concept | 62F03 |
| Sample mean | 03Y6AQ2S0J | concept | 62F10 |
| Correlation coefficient | 04CTY6XYWN | definition | 62H20 |
| Likelihood function | 05FSTXM92W | definition | 62F10 |
| Mean squared error | 05NZ1HHQMV | concept | 62F10 |
| Standard score | 05RZ4YZG4E | definition | 62P99 |
| Statistical hypothesis test | 087P03NEND | concept | 62F03 |
| Method of moments | 09J1H07VAH | concept | 62F10 |
| Student's t-distribution | 09RTQRK5PC | concept | 60E05, 62E15 |
| Chi-squared distribution | 0A9EB0KQBC | concept | 60E05, 62E15 |
| Consistent estimator | 0AS800VAYX | concept | 62F12 |
| Marginal distribution | 0AXP2Z5N9H | definition | 62H05 |
| Bias of an estimator | 0BWGTN92FG | concept | 62F10 |
| Kurtosis | 0CBQVVNBMP | definition | 62E10 |
| Correlation coefficient | 0DNN9B6Q2F | concept | 62H20 |
| Joint probability distribution | 0DR81R1F2B | concept | 62H05 |
| Base rate fallacy | 0E44JMG6NV | example | 62F15 |
| Neyman–Pearson lemma | 0EE19CFEEF | statement | 62F03 |
| P-value | 0EHYZFZ4PK | definition | 62F03 |
| Chi-squared test | 0EN0V3NY20 | concept | 62H17, 62G10 |
| Kurtosis | 0FGAJSPX8E | concept | 62E10 |
| Maximum likelihood estimation | 0FREPFKNS7 | concept | 62F10 |
| Multivariate normal distribution | 0G558GJQMW | definition | 62H05 |
| P-value | 0GGKJGZF6D | concept | 62F03 |
| Skewness | 0GQ3H7VW3V | definition | 62E10 |
| Student's t-test | 0HYP606RYF | concept | 62F03 |
| Sample variance | 0JN9P4A944 | definition | 62F10 |
| Bayesian inference | 0JWRJX2RMP | concept | 62F15 |
| Confidence interval | 0K4NMMJBG2 | definition | 62F25 |
| Posterior probability | 0KJ7ZS8AJA | concept | 62F15 |
| Marginal distribution | 0MXT6PRZZ6 | concept | 62H05 |
| Sample variance | 0NHXGY2C5J | concept | 62F10 |
| Bayes' theorem | 0NM6E9VW04 | statement | 62F15 |
| Student's t-distribution | 0NQ5798SB1 | definition | 60E05, 62E15 |
| Statistic | 0Q5CG2NEQ8 | concept | 62A01 |
| Joint probability distribution | 0QAR0XDZH4 | definition | 62H05 |
| Sample mean | 0QNRBHWV35 | definition | 62F10 |
| Type I and type II errors | 0R41PVFA39 | definition | 62F03 |
| Chi-squared distribution | 0RFMMBHFTV | definition | 60E05, 62E15 |
| Confidence interval | 0S6T9KQNC0 | concept | 62F25 |
| Estimator | 0SSS6ERQ0S | concept | 62F10 |
| Estimator | 0TTNRP5PFQ | definition | 62F10 |
| Mean squared error | 0V4VSCBXP3 | definition | 62F10 |
| Covariance matrix | 0V7G6WMFK0 | concept | 62H05 |
| Likelihood function | 0VW9E4QXR6 | concept | 62F10 |
| Standard score | 0VXJHZ1G9J | concept | 62P99 |
| Consistent estimator | 0XJVF81QF6 | definition | 62F12 |
| Multivariate normal distribution | 0XN3K7RSZY | concept | 62H05 |
| Skewness | 0YVQKBNV2R | concept | 62E10 |