LEADER 02456nam  2200661z- 450 
001 9910557640803321
005 20231214133246.0
035   $a(CKB)5400000000045046
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/76386
035   $a(EXLCZ)995400000000045046
100   $a20202201d2021      |y             0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aTowards a New Paradigm for Statistical Evidence
210   $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021
215   $a1 electronic resource (104 p.)
311   $a3-0365-0882-1 
311   $a3-0365-0883-X 
330   $aMany scientists now widely agree that the current paradigm of statistical significance should be abandoned or largely modified. In response to these calls for change, a Special Issue of Econometrics (MDPI) has been proposed. This book is a collection of the articles that have been published in this Special Issue. These seven articles add new insights to the problem and propose new methods that lay a solid foundation for the new paradigm for statistical significance.
606   $aHumanities$2bicssc
610   $ap-value
610   $aBayesian
610   $amodel specification
610   $amodel testing
610   $areporting results (p-values)
610   $areplications
610   $aequivalence
610   $aminimum-effect
610   $anon-inferiority
610   $apoint-null hypothesis testing
610   $azero probability paradox
610   $at-statistic
610   $apretest estimator
610   $amodel averaging
610   $aa priori procedure
610   $anull hypothesis significance testing
610   $aconfidence intervals
610   $ap-values
610   $aestimation
610   $ahypothesis testing
610   $areplication crisis
610   $aprofit maximization
610   $amarket failure
610   $ateaching of econometrics
610   $aregression analysis
610   $aeconomics pedagogy
615  7$aHumanities
700   $aBhatti$b Muhammad Ishaq$4edt$01295559
702   $aKim$b Jae H$4edt
702   $aBhatti$b Muhammad Ishaq$4oth
702   $aKim$b Jae H$4oth
906   $aBOOK
912   $a9910557640803321
996   $aTowards a New Paradigm for Statistical Evidence$93023618
997   $aUNINA