Mohlo by se vám také líbit

Více informací o knize Cause and Correlation in Biology

• Parametry knihy
• Anotace
• Oblíbené z jiného soudku

Nákupem získáte 160 bodů

Anotace knihy

Many problems in biology require an understanding of the relationships among variables in a multivariate causal context. Exploring such cause-effect relationships through a series of statistical methods, this book explains how to test causal hypotheses when randomised experiments cannot be performed. This completely revised and updated edition features detailed explanations for carrying out statistical methods using the popular and freely available R statistical language. Sections on d-sep tests, latent constructs that are common in biology, missing values, phylogenetic constraints, and multilevel models are also an important feature of this new edition. Written for biologists and using a minimum of statistical jargon, the concept of testing multivariate causal hypotheses using structural equations and path analysis is demystified. Assuming only a basic understanding of statistical analysis, this new edition is a valuable resource for both students and practising biologists.

Parametry knihy

Zařazení knihy Knihy v angličtině Mathematics & science Mathematics Probability & statistics

• Plný název: Cause and Correlation in Biology
• Podnázev: A User's Guide to Path Analysis, Structural Equations and Causal Inference with R
• Autor: Bill Shipley
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 314
• EAN: 9781107442597
• ISBN: 1107442591
• ID: 09518362
• Nakladatelství: Cambridge University Press
• Hmotnost: 556 g
• Rozměry: 248 × 298 × 16 mm
• Datum vydání: 18. April 2016

Oblíbené z jiného soudku

---

---

---