A concise guide to statistics
Hans Michael Kaltenbach ([Springer , ], 2012)
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| 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. |
 A Concise Guide to Statistics.pdf :: Unduh
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| No. Panggil : | e20419166 |
| Subjek : | |
| Penerbitan : | London: [Springer , ], 2012 |
| Sumber Pengatalogan: | LibUI eng rda |
| Tipe Konten: | text |
| Tipe Media: | computer |
| Tipe Pembawa: | online resource |
| Deskripsi Fisik: | |
| Tautan: | http://link.springer.com/book/10.1007%2F978-3-642-23502-3 |
| Lembaga Pemilik: | |
| Lokasi: |
| No. Panggil | No. Barkod | Ketersediaan |
|---|---|---|
| e20419166 | TERSEDIA |
| Ulasan: |
| Tidak ada ulasan pada koleksi ini: 20419166 |
