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Foundations of statistics for data scientists with R and Python

By: Alan Agresti.
Contributor(s): Maria Kateri.
Publisher: Boca Raton : Chapman and Hall/CRC, 2022Description: xvii, 467 p. ; ill. , 26 cm.ISBN: 9780367748456.Subject(s): Python | AIC (Akaike information criterion) | Bayesian inference | Bonferroni method | Chi-squared distribution | Conditional association | Delta method | Estimation | Explanatory variables | Generalized linear models | Histogram | Inteval estimate | Likehood ratio test | M-estimation | Monte Carlo methods | Normal distribution | Overdistribution | Overdispersion | P-value | Poisson distribution | Quasi-complete separation | Random variable | Sampling test | Significance test | Skewed distributions | T statistic | Wilcoxon testDDC classification: 519.50285536
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Item type Current location Call number Status Date due Barcode
Books 519.50285536 AGR (Browse shelf) Available 032969

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