| 000 | 01183nam a2200193 4500 | ||
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| 005 | 20251211111711.0 | ||
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| 020 | _a9780367749125 | ||
| 037 | _cTextual | ||
| 040 |
_aRTL _cRTL |
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| 084 | _qRTL | ||
| 100 |
_aMavrakakis, Miltiadis C. _9855858 |
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| 245 | _aProbability and statistical inference: From basic principles to advanced models | ||
| 260 |
_aLondon _bCRC Press _c2021 |
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| 300 |
_axix, 423 p. _bIncludes bibliographical reference and index |
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| 520 | _aProbability and Statistical Inference: From Basic Principles to Advanced Models covers aspects of probability, distribution theory, and inference that are fundamental to a proper understanding of data analysis and statistical modelling. It presents these topics in an accessible manner without sacrificing mathematical rigour, bridging the gap between the many excellent introductory books and the more advanced, graduate-level texts. The book introduces and explores techniques that are relevant to modern practitioners, while being respectful to the history of statistical inference. | ||
| 700 |
_aPenzer, Jeremy _eCo-author _9855859 |
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| 942 |
_2CC _n0 _cTEXL |
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| 999 |
_c1466189 _d1466189 |
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