000 | 03085cam a2200421 i 4500 | ||
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001 | ocn999636489 | ||
003 | OCoLC | ||
005 | 20240726105046.0 | ||
008 | 170804s2017 ne a ob 001 0 eng d | ||
040 |
_aIDEBK _beng _epn _erda _cIDEBK _dOCLCQ _dIDEBK _dOCLCO _dNT _dOCLCF _dEBLCP _dYDX _dMERUC _dIDB _dJSTOR _dOCLCQ _dDEGRU _dSTF _dWYU _dOCLCQ _dG3B _dIGB _dBRX _dUAB _dOCLCQ _dMM9 _dAUD _dUX1 _dSFB _dOCLCQ _dS2H _dP@U _dTXI _dOCLCO _dOCL _dSFB _dOCLCO _dOCL _dOCLCQ |
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020 |
_a9048536111 _q((electronic)l(electronic)ctronic) |
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_a9789048536115 _q((electronic)l(electronic)ctronic) |
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041 | 1 |
_aeng _hdut |
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050 | 0 | 4 |
_aQA276 _b.I587 2017 |
049 | _aMAIN | ||
100 | 1 |
_aBijma, Fetsje, _d1977- _e1 |
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245 | 1 | 0 | _aIntroduction to mathematical statistics /Fetsje Bijma, Marianne Jonker, Aad van der Vaart [; translated by Reinie Erné. |
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_aAmsterdam : _bAmsterdam University Press, _c(c)2017. |
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_a1 online resource (xii, 370 pages) : _billustrations, tables |
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_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_adata file _2rda |
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504 | _aIncludes exercises and application examples at chapter ends, bibliographical references (page iii), and index. | ||
505 | 0 | 0 |
_aIntroduction -- _tDescriptive statistics -- _tEstimators -- _tHypothesis testing -- _tConfidence regions -- _tOptimality theory -- _tRegression models -- _tModel selection -- _tA. Probability theory -- _tB. Multivariate normal distribution -- _tC. Tables -- _tD. Answers to exercises. |
520 | 0 | _aStatistics is the science that focuses on drawing conclusions from data. To this end, collected data is modeled and analyzed using mathematical probability models. In Introduction to Statistics, key concepts from statistics are described and a mathematical basis for important statistical methods is provided. In addition, much attention is paid to the responsible application of statistical methods to data. The three most important subjects from statistics are estimators, tests, and reliability areas. Furthermore, well-known regression models, such as linear regression and analysis of variance, are discussed. Optimality of estimators and tests is also discussed in this book, as well as the selection of the most suitable model. Each chapter ends with a practical example in which described statistical methods are applied. This book is based on basic knowledge of probability theory, calculus, and linear algebra for the reader. | |
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_a2 _ub |
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650 | 0 | _aStatistics. | |
650 | 0 |
_aMathematical statistics _vTextbooks. |
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655 | 1 | _aElectronic Books. | |
700 | 1 |
_aJonker, Marianne, _e1 |
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700 | 1 |
_aVaart, A. W. van der, _e1 |
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700 | 1 |
_aErné, Reinie. _etrl |
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856 | 4 | 0 |
_uhttps://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1593127&site=eds-live&custid=s3260518 _zClick to access digital title | log in using your CIU ID number and my.ciu.edu password |
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_cOB _D _eEB _hQA _m2017 _QOL _R _x _8NFIC _2LOC |
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_c87646 _d87646 |
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_a1 _bCynthia Snell _c1 _dCynthia Snell |