A Concise Guide to Statistics
The text gives a concise introduction into fundamental concepts in statistics. Chapter 1: Short exposition of probability theory, using generic examples. Chapter 2: Estimation in theory and practice, using biologically motivated examples. Maximum-likelihood estimation in covered, including Fisher in...
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| Autore principale: | |
|---|---|
| Natura: | Livre numérique |
| Lingua: | Anglais |
| Pubblicazione: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
2012.
Cham : Springer Nature |
| Serie: | SpringerBriefs in Statistics
|
| Soggetti: | |
| Accesso online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • A concise guide to statistics, Hans-Michael Kaltenbach, Heidelberg, Springer, 2012, 1 vol. (XIII-111 p.), Springerbriefs in statistics, 978-3-642-23501-6 |
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| 100 | 1 | |a Kaltenbach, Hans-Michael, |d 19..-...., |c mathématicien. | |
| 245 | 1 | 0 | |a A Concise Guide to Statistics |c Hans-Michael Kaltenbach. |
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c 2012. | ||
| 490 | 1 | |a SpringerBriefs in Statistics | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a Basics of Probability Theory Estimation Hypothesis Testing Regression References Index | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a The text gives a concise introduction into fundamental concepts in statistics. Chapter 1: Short exposition of probability theory, using generic examples. Chapter 2: Estimation in theory and practice, using biologically motivated examples. Maximum-likelihood estimation in covered, including Fisher information and power computations. Methods for calculating confidence intervals and robust alternatives to standard estimators are given. Chapter 3: Hypothesis testing with emphasis on concepts, particularly type-I , type-II errors, and interpreting test results. Several examples are provided. T-tests are used throughout, followed important other tests and robust/nonparametric alternatives. Multiple testing is discussed in more depth, and combination of independent tests is explained. Chapter 4: Linear regression, with computations solely based on R. Multiple group comparisons with ANOVA are covered together with linear contrasts, again using R for computations | ||
| 650 | |a Statistiques comme sujet | ||
| 650 | |a Statistique | ||
| 650 | |a Probabilités | ||
| 776 | 0 | |0 167007882 |t A concise guide to statistics |f Hans-Michael Kaltenbach |c Heidelberg |n Springer |d 2012 |p 1 vol. (XIII-111 p.) |s Springerbriefs in statistics |z 978-3-642-23501-6 | |
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