000			a
999			_c30969 _d30969
008			220510b xxu||||| |||| 00| 0 eng d
020			_a9780367748456
082			_a519.50285536 _bAGR
100			_aAlan Agresti
245			_aFoundations of statistics for data scientists _b with R and Python
260			_bChapman and Hall/CRC, _c2022 _aBoca Raton :
300			_axvii, 467 p. ; _bill. , _c26 cm
365			_b74.99 _cGBP _d102.80
650			_aPython
650			_aAIC (Akaike information criterion)
650			_aBayesian inference
650			_aBonferroni method
650			_a Chi-squared distribution
650			_aConditional association
650			_aDelta method
650			_aEstimation
650			_aExplanatory variables
650			_aGeneralized linear models
650			_a Histogram
650			_aInteval estimate
650			_aLikehood ratio test
650			_aM-estimation
650			_aMonte Carlo methods
650			_aNormal distribution
650			_aOverdistribution
650			_aOverdispersion
650			_a P-value
650			_a Poisson distribution
650			_a Quasi-complete separation
650			_a Random variable
650			_aSampling test
650			_a Significance test
650			_a Skewed distributions
650			_aT statistic
650			_a Wilcoxon test
700			_aMaria Kateri
942			_2ddc _cBK