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==Further reading== * {{Citation | title= Likelihood ratios: A simple and flexible statistic for empirical psychologists | journal= [[Psychonomic Bulletin & Review]] | year= 2004 | author1-first= Scott | author1-last= Glover | author2-first= Peter | author2-last= Dixon | volume= 11 | issue= 5 | pages= 791–806 | doi= 10.3758/BF03196706| pmid= 15732688 | doi-access= free }} * {{Citation|first1= Leonhard | last1= Held | first2= Daniel | last2= Sabanés Bové | title= Applied Statistical Inference—Likelihood and Bayes | year= 2014 | publisher= [[Springer Science+Business Media|Springer]]}} * {{Citation | author-last= Kalbfleisch | author-first= J. G. | author-link= James G. Kalbfleisch | year= 1985 | title= Probability and Statistical Inference | volume= 2 | publisher= [[Springer-Verlag]]}} * {{Citation | author1-first= Michael D. |author1-last= Perlman | author2-first= Lang | author2-last= Wu | title= The emperor's new tests | journal= [[Statistical Science]] | year= 1999 | volume= 14 |issue= 4 | pages= 355–381 |doi= 10.1214/ss/1009212517 | doi-access= free }} * {{Citation | author-last= Perneger | author-first= Thomas V. | title= Sifting the evidence: Likelihood ratios are alternatives to P values | journal= [[The BMJ]] | year= 2001 | volume= 322 | issue= 7295 | pages= 1184–5 | pmc= 1120301 | pmid= 11379590 | doi=10.1136/bmj.322.7295.1184}} * {{Citation | last1 = Pinheiro | first1 = José C. | last2 = Bates | first2 = Douglas M. | year = 2000 | title = Mixed-Effects Models in S and S-PLUS | publisher = [[Springer-Verlag]] | pages = 82–93 }} * {{cite journal |title= Efficiency Testing of Prediction Markets: Martingale Approach, Likelihood Ratio and Bayes Factor Analysis | year=2021 |first1=Mark |last1=Richard |first2=Jan |last2=Vecer |journal=Risks |volume=9 |issue=2|page= 31 |doi= 10.3390/risks9020031 |doi-access= free |hdl=10419/258120 |hdl-access=free }} * {{Citation | first= Daniel L. | last= Solomon | title= A note on the non-equivalence of the Neyman-Pearson and generalized likelihood ratio tests for testing a simple null versus a simple alternative hypothesis | journal= [[The American Statistician]] | year = 1975 | volume= 29 | issue= 2 | pages= 101–102 | doi= 10.1080/00031305.1975.10477383| url= https://ecommons.cornell.edu/bitstream/1813/32605/1/BU-510-M.pdf | hdl= 1813/32605 | hdl-access= free }}
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