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001 978-1-4419-5525-8
003 DE-He213
005 20140220084507.0
007 cr nn 008mamaa
008 100316s2010 xxu| s |||| 0|eng d
020 _a9781441955258
_9978-1-4419-5525-8
024 7 _a10.1007/978-1-4419-5525-8
_2doi
050 4 _aQA276-280
072 7 _aJHBC
_2bicssc
072 7 _aSOC027000
_2bisacsh
082 0 4 _a519.5
_223
100 1 _aWilcox, Rand R.
_eauthor.
245 1 0 _aFundamentals of Modern Statistical Methods
_h[electronic resource] :
_bSubstantially Improving Power and Accuracy /
_cby Rand R. Wilcox.
250 _aSecond.
264 1 _aNew York, NY :
_bSpringer New York,
_c2010.
300 _aXVI, 278p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aGetting Started -- The Normal Curve and Outlier Detection -- Accuracy and Inference -- Hypothesis Testing and Small Sample Sizes -- The Bootstrap -- A Fundamental Problem -- Robust Measures of Location -- Inferences About Robust Measures of Location -- Measures Of Association -- Robust Regression -- Alternative Strategies and Software.
520 _aConventional statistical methods have a very serious flaw. They routinely miss differences among groups or associations among variables that are detected by more modern techniques, even under very small departures from normality. Hundreds of journal articles have described the reasons standard techniques can be unsatisfactory, but simple, intuitive explanations are generally unavailable. Situations arise where even highly nonsignificant results become significant when analyzed with more modern methods. Without assuming the reader has any prior training in statistics, Part I of this book describes basic statistical principles from a point of view that makes their shortcomings intuitive and easy to understand. The emphasis is on verbal and graphical descriptions of concepts. Part II describes modern methods that address the problems covered in Part I. Using data from actual studies, many examples are included to illustrate the practical problems with conventional procedures and how more modern methods can make a substantial difference in the conclusions reached in many areas of statistical research. The second edition of this book includes a number of advances and insights that have occurred since the first edition appeared. Included are new results relevant to medians, regression, measures of association, strategies for comparing dependent groups, methods for dealing with heteroscedasticity, and measures of effect size. Rand Wilcox is a professor of psychology at the University of Southern California. He is a fellow of the Royal Statistical Society and the Association for Psychological Science. Dr. Wilcox currently serves as an associate editor of Computational Statistics & Data Analysis, Communications in Statistics: Theory and Methods, Communications in Statistics: Simulation and Computation, and Psychometrika. He has published more than 280 articles in a wide range of statistical journals and he is the author of six other books on statistics.
650 0 _aStatistics.
650 1 4 _aStatistics.
650 2 4 _aStatistics for Social Science, Behavorial Science, Education, Public Policy, and Law.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781441955241
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4419-5525-8
912 _aZDB-2-SMA
999 _c110475
_d110475