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020			_a9781482236231
037			_cTextbook
040			_aCSL _beng _cCSL
041			_aeng
084			_aB28 Q4 TB _qCSL
245		0	_aStatistics in action _b: A canadian outlook
260			_aBoca Raton : _bCRC Press. _c2014,
300			_axxiii, 360p. _b: ill.
500			_aIndex 357-360p.
520			_aCommissioned by the Statistical Society of Canada (SSC), Statistics in Action: A Canadian Outlook helps both general readers and users of statistics better appreciate the scope and importance of statistics. It presents the ways in which statistics is used while highlighting key contributions that Canadian statisticians are making to science, technology, business, government, and other areas. The book emphasizes the role and impact of computing in statistical modeling and analysis, including the issues involved with the huge amounts of data being generated by automated processes.The first two chapters review the development of statistics as a discipline in Canada and describe some major contributions to survey methodology made by Statistics Canada, one of the world’s premier official statistics agencies. The book next discusses how statistical methodologies, such as functional data analysis and the Metropolis algorithm, are applied in a wide variety of fields, including risk management and genetics. It then focuses on the application of statistical methods in medicine and public health as well as finance and e-commerce. The remainder of the book addresses how statistics is used to study critical scientific areas, including difficult-to-access populations, endangered species, climate change, and agricultural forecasts.About the SSCFounded in Montréal in 1972, the SSC is the main professional organization for statisticians and related professionals in Canada. Its mission is to promote the use and development of statistics and probability. The SSC publishes the bilingual quarterly newsletter SSC Liaison and the peer-reviewed scientific journal The Canadian Journal of Statistics. More information can be found at .
650			_a Financial engineering _9817762
650			_a Lasso and sparsity _9817763
650			_aSurvey methodology _9817764
700			_aLawless, Jerald F _eeditor _9314160
942			_hB28 Q4 TB _cTB _2CC _n0
999			_c6559 _d6559