000			01459nam a2200133Ia 4500
020			_a9780412044113
082			_a519.544 _bROY
100			_aRoyall, Richard
245			_aStatistical evidence : a likelihood paradigm / _cRichard Royall
260			_aLondon : _bTaylor and Francis, _c2017.
300			_axvi, 191 pages : _billustrations ; _e22 cm.
520			_aInterpreting statistical data as evidence, Statistical Evidence: A Likelihood Paradigm focuses on the law of likelihood, fundamental to solving many of the problems associated with interpreting data in this way. Statistics has long neglected this principle, resulting in a seriously defective methodology. This book redresses the balance, explaining why science has clung to a defective methodology despite its well-known defects. After examining the strengths and weaknesses of the work of Neyman and Pearson and the Fisher paradigm, the author proposes an alternative paradigm which provides, in the law of likelihood, the explicit concept of evidence missing from the other paradigms. At the same time, this new paradigm retains the elements of objective measurement and control of the frequency of misleading results, features which made the old paradigms so important to science. The likelihood paradigm leads to statistical methods that have a compelling rationale and an elegant simplicity, no longer forcing the reader to choose between frequentist and Bayesian statistics.
942			_cBK
999			_c2013 _d2013