Biostatistics with R An Introduction to Statistics Through Biological Data /

Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their implementation.  The book explains basic statistical concepts with a simple yet rigorous language.  The development of ideas is in the context of real applied problems, f...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Shahbaba, Babak (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: New York, NY : Springer New York, 2012.
Σειρά:Use R!
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Biostatistics with R  |h [electronic resource] :  |b An Introduction to Statistics Through Biological Data /  |c by Babak Shahbaba. 
264 1 |a New York, NY :  |b Springer New York,  |c 2012. 
300 |a XVI, 352 p. 162 illus., 73 illus. in color.  |b online resource. 
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490 1 |a Use R! 
505 0 |a Introduction -- Data Exploration -- Exploring Relationships -- Probability -- Random Variables and Probability Distribtions -- Estimation -- Hypothesis Testing -- Testing a Hypothesis on the Relatinoship Between Two Variables -- Analysis of Variance -- Analysis of Categorial Variables -- Regression Analysis -- Clustering -- Bayesian Analysis. 
520 |a Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their implementation.  The book explains basic statistical concepts with a simple yet rigorous language.  The development of ideas is in the context of real applied problems, for which step-by-step instructions for using R and R-Commander are provided.  Topics include data exploration, estimation, hypothesis testing, linear regression analysis, and clustering with two appendices on installing and using R and R-Commander.  A novel feature of this book is an elementary introduction to the basic of Bayesian analysis. This author discusses basic statistical analysis through a series of biological examples using R and R-Commander as computational tools.  The book is ideal for instructors of basic statistics for biologists and other health scientists.  The step-by-step application of statistical methods discussed in this book allows readers, who are interested in statistics and its application in biology, to use the book as a self-learning text. . 
650 0 |a Statistics. 
650 1 4 |a Statistics. 
650 2 4 |a Statistics for Life Sciences, Medicine, Health Sciences. 
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