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| 008 | 100301s2008 xxu| s |||| 0|eng d | ||
| 020 | _a9780387732510 | ||
| 024 | 7 |
_a10.1007/978-0-387-73251-0 _2doi |
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| 035 | _a978-0-387-73251-0 | ||
| 072 | 7 |
_aPBT _2bicssc |
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_aMAT029000 _2bisacsh |
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| 082 | 0 | 4 | _a519.5 |
| 090 | _amg | ||
| 100 | 1 |
_aLongford, Nicholas T. _99212 |
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| 245 | 1 | 0 |
_aStudying Human Populations _h[electronic resource]: _bAn Advanced Course in Statistics/ _cby Nicholas T. Longford. |
| 260 |
_aNew York: _bSpringer New York, _c2008. |
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| 300 | _bdigital. | ||
| 490 | 0 |
_aSpringer Texts in Statistics, _x1431-875X |
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| 505 | 0 | _aAnova and Ordinary Regression -- Maximum Likelihood Estimation -- Sampling Methods -- The Bayesian Paradigm -- Incomplete Data -- Imperfect Measurement -- Experiments and Observational Studies -- Clinical Trials -- Random Coefficients -- Generalised Linear Models -- Longitudinal and Time-Series Analysis -- Meta-Analysis and Estimating Many Quantities . | |
| 520 | _aStudying Human Populations is a textbook for graduate students and research workers in social statistics and related subject areas. It follows a novel curriculum developed around the basic statistical activities of sampling, measurement and inference. Statistics is defined broadly as making decisions in the presence of uncertainty that arises as a consequence of limited resources available for collecting information. A connecting link of the presented methods is the perspective of missing information, catering for a diverse class of problems that include nonresponse, imperfect measurement and causal inference. In principle, any problem too complex for our limited analytical toolkit could be converted to a tractable problem if some additional information were available. Ingenuity is called for in declaring such (missing) information constructively, but the universe of problems that we can address is wide open, not limited by a discrete set of procedures. The monograph aims to prepare the reader for the career of an independent social statistician and to serve as a reference for methods, ideas for and ways of studying human populations: formulation of the inferential goals, design of studies, search for the sources of relevant information, analysis and presentation of results. Elementary linear algebra and calculus are prerequisites, although the exposition is quite forgiving, especially in the first few chapters. Familiarity with statistical software at the outset is an advantage, but it can be developed concurrently with studying the text. Nicholas T. Longford directs the statistical research and consulting company SNTL in Reading, England. He had held senior research posts at the Educational Testing Service, Princeton, NJ, and De Montfort University, Leicester, England. He was awarded the first Campion Fellowship by the Royal Statistical Society (2000-2002). He is a member of the editorial boards of the British Journal of Mathematical and Statistical PsychologyB and of Survey Research Methods, and a former Associate Editor of the Journal of Educational and Behavioral Statistics, Journal of Multivariate Analysis and Journals of the Royal Statistical Society Series A and D. He is the author of three other monographs, the latest entitled Missing Data and Small-Area Estimation (Springer, 2005) . | ||
| 650 | 0 |
_aStatistics. _943790 |
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| 650 | 0 |
_aEpidemiology. _937814 |
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| 650 | 0 |
_aElectronic data processing. _937087 |
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| 650 | 0 |
_aComputer simulation. _937658 |
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| 650 | 0 |
_aBiometrics _99214 |
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| 650 | 0 |
_aMathematical statistics _943558 |
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| 650 | 0 |
_aPsychometrics. _922831 |
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| 697 |
_aMatemáticas Gerais- _x(inclusive alguns textos elementares sobre assuntos específicos) _923752 |
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| 710 | 1 |
_aSpringerLink (Online service). _98857 |
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| 773 | 0 | _tSpringer eBooks | |
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_iPrinted edition: _z9780387987354 |
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_aSpringer texts in statistics _941182 |
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| 856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-0-387-73251-0 |
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_2impa _cEBK |
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| 999 |
_aLONGFORD, Nicholas T. <b> Studying Human Populations: </b> An Advanced Course in Statistics. New York: Springer New York, 2008. (Springer Texts in Statistics, 1431-875X). ISBN 9780387732510. Disponível em: <http://dx.doi.org/10.1007/978-0-387-73251-0 > _c38481 _d38481 |
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