A Concise Guide to Statistics

✍ Hans-Michael Kaltenbach (auth.) 📂 Library 📅 2012 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

<p>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

📁 A Concise Guide to Statistics

✍ Hans-Michael Kaltenbach (auth.) 📂 Library 📅 2012 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

<p>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

A Concise Guide to Statistics

📁 A Concise Guide to Statistics

✍ Kaltenbach, Hans-Michael 📂 Library 📅 2012 🏛 Springer Berlin Heidelberg : Imprint: Springer 🌐 English

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

A Concise Guide to Statistics

📁 A Concise Guide to Statistics

✍ Kaltenbach, Hans-Michael 📂 Library 📅 2012 🏛 Springer Berlin Heidelberg : Imprint: Springer 🌐 English

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

Multivariate Exponential Families: A Con

📁 Multivariate Exponential Families: A Concise Guide to Statistical Inference (SpringerBriefs in Statistics)

✍ Stefan Bedbur 📂 Library 📅 2021 🏛 Springer 🌐 English

<p><span>This book provides a concise introduction to exponential families. Parametric families of probability distributions and their properties are extensively studied in the literature on statistical modeling and inference. Exponential families of distributions comprise density functions of a par

A concise introduction to statistical in

📁 A concise introduction to statistical inference

✍ Thijssen J 📂 Library 📅 2014 🏛 CRC 🌐 English

A Concise Guide to Statistics

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