000			03342nam 2200349| 4500
001			83246
005			20200128112530.0
010			_a978-0-387-73251-0 _dcompra
090			_a83246
100			_a20190128d2008 k||y0pory50 ba
101	0		_aeng
102			_aUS
200	1		_aStudying human populations _bDocumento electrónico _fNicholas T. Longford _eAn advanced course in statistics
210			_aNew York, NY _cSpringer New York _d2008
215			_aXVI, 474 p.
225	2		_aSpringer Texts in Statistics
300			_aColocação: Online
303			_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).
410	1		_x1431-875X
606			_aDemografia
606			_aCiências sociais _xMetodologia
606			_aEstatística matemática
606			_aEpidemiologia
606			_aPsicometria
606			_aBiometria
680			_aHB848
700			_aLongford _bNicholas T.
801		0	_gRPC _aPT
856			_uhttps://doi.org/10.1007/978-0-387-73251-0
942			_2lcc _cF _n0