Statistical analysis in microbiology : statnotes
| Statistical analysis in microbiology : statnotes |
| Autore | Armstrong Richard A |
| Pubbl/distr/stampa | [Place of publication not identified], : Wiley Blackwell Pub, 2011 |
| Disciplina | 579.0727 |
| Soggetto topico |
Microbiology - Statistical methods
Biology Health & Biological Sciences Microbiology & Immunology |
| ISBN | 0-470-90517-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| 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. |
| Record Nr. | UNINA-9910141747403321 |
Armstrong Richard A
|
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| [Place of publication not identified], : Wiley Blackwell Pub, 2011 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Statistical analysis in microbiology : statnotes
| Statistical analysis in microbiology : statnotes |
| Autore | Armstrong Richard A |
| Pubbl/distr/stampa | [Place of publication not identified], : Wiley Blackwell Pub, 2011 |
| Disciplina | 579.0727 |
| Soggetto topico |
Microbiology - Statistical methods
Biology Health & Biological Sciences Microbiology & Immunology |
| ISBN | 0-470-90517-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| 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. |
| Record Nr. | UNINA-9910830568303321 |
Armstrong Richard A
|
||
| [Place of publication not identified], : Wiley Blackwell Pub, 2011 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Statistical analysis in microbiology : statnotes
| Statistical analysis in microbiology : statnotes |
| Autore | Armstrong Richard A |
| Pubbl/distr/stampa | [Place of publication not identified], : Wiley Blackwell Pub, 2011 |
| Disciplina | 579.0727 |
| Soggetto topico |
Microbiology - Statistical methods
Biology Health & Biological Sciences Microbiology & Immunology |
| ISBN | 0-470-90517-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| 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. |
| Record Nr. | UNINA-9911019481403321 |
Armstrong Richard A
|
||
| [Place of publication not identified], : Wiley Blackwell Pub, 2011 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||