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| - | ====== Mathematical Statistics II by Sir Haidar Ali ====== | ||
| - | These notes are provided and composed by Mr. [[: | ||
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| - | ^ Name |Mathematical Statistics II | | ||
| - | ^ Provider | ||
| - | ^Lectured by |Sir Haider Ali | | ||
| - | ^ Pages |97 pages | | ||
| - | ^ Format | ||
| - | ^ Size |789 kB | | ||
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| - | ====Contents & Summary==== | ||
| - | * Population | ||
| - | * Size of Population | ||
| - | * Sample | ||
| - | * Sampling | ||
| - | * Sampling Unit | ||
| - | * Random Sample | ||
| - | * Parameter | ||
| - | * Statistics | ||
| - | * Sampling Distribution | ||
| - | * Sampling Distribution with Replacement and without Replacement | ||
| - | * Statistical Inference | ||
| - | * Point Estimation | ||
| - | * Interval Estimation | ||
| - | * Point Estimation | ||
| - | * Good point Estimator | ||
| - | * Criteria for Good point Estimator | ||
| - | * Unbiasedness | ||
| - | * Normal Distribution Density function | ||
| - | * Efficiency | ||
| - | * Consistency | ||
| - | * Criteria for Consistency | ||
| - | * Sufficiency | ||
| - | * Neyman-Fisherman Criterion for sufficiency | ||
| - | * Methods of point estimator | ||
| - | * The method of maximum likelihood estimator | ||
| - | * Likelihood function | ||
| - | * Maximum likelihood Estimator | ||
| - | * Normal Distribution | ||
| - | * Moment Generating function (m.g.f) | ||
| - | * Properties of Normal Distribution | ||
| - | * Degree of freedom | ||
| - | * Chi-Square Random variable | ||
| - | * Chi-Square Distribution | ||
| - | * Properties of Chi-Square Distribution | ||
| - | * T-Distribution | ||
| - | * Properties of T-Distribution | ||
| - | * F-Distribution | ||
| - | * Properties of F-Distribution | ||
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| - | {{include> | ||
| - | ==== Download or View online ==== | ||
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| - | ====Notes of other subjects==== | ||
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