Statistical analysis in microbiology : statnotes

• Autore: Armstrong Richard A
• Pubblicazione: [Place of publication not identified], : Wiley Blackwell Pub, 2011
• Disciplina: 579.0727
• Soggetto topico: Microbiology - Statistical methods; Biology; Health & Biological Sciences; Microbiology & Immunology
• Persona (resp. second.): HiltonAnthony C
• Note generali: Bibliographic Level Mode of Issuance: Monograph
• Nota di contenuto: Are the data normally distributed? -- Describing the normal distribution -- Testing the difference between two groups -- Wat if the data are not normally distributed? -- Chi-square contingency tables -- One-way analysis of variance (anova) -- Post hoc tests -- Is one set of data more variable than another? -- Statistical power and sample size -- One-way analysis of variance (random effects model) : the nested or hierarchical design -- Two-way analysis of variance -- Two-factor analysis of variance -- Split-plot analysis of variance -- Repeated-measures analysis of variance -- Correlation of two variables -- Limits of agreement -- Nonparametric correlation coefficients -- Fitting a regression line to data -- Using a regression line for prediction and calibration -- Comparison of regression lines -- Nonlinear regression : fitting an exponential curve -- Nonlinear regression : fitting a general polynomial-type curve -- Nonlinear regression : fitting a logistic growth curve -- Nonparametric analysis of variance -- Multiple linear regression -- Stepwise multiple regression -- Classification and dendrograms -- Factor analysis and principal components analysis -- Which test to use : table -- Which test to use : key -- Glossary of statistical terms and their abbreviations -- Summary of sample size procedures for different statistical tests.
• Titolo autorizzato: Statistical analysis in microbiology : statnotes
• ISBN: 0-470-90517-4
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910830568303321
• Lo trovi qui: Univ. Federico II