83 rezultatov
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Beginner's Guide to R(2009) ZUUR, ALAIN,IENO, ELENA N.,MEESTERS, ERIKBased on their extensive experience with teaching R and statistics to applied scientists, the authors provide a beginner's guide to R. The text covers how to download and install R, import and manage data, elementary plotting, an introduction to functions106,85 €
ZUUR, ALAIN,IENO, ELENA N.,MEESTERS, ERIK
Beginner's Guide to R
Based on their extensive experience with teaching R and statistics to applied scientists, the authors provide a beginner's guide to R. The text covers how to download and install R, import and manage data, elementary plotting, an introduction to functions
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Data Mining with Rattle and R(2011) WILLIAMS, GRAHAMThe focus on doing data mining rather than just reading about data mining is refreshing.The book covers data understanding, data preparation, data refinement, model building, model evaluation, and practical deployment.114,48 €
WILLIAMS, GRAHAM
Data Mining with Rattle and R
The focus on doing data mining rather than just reading about data mining is refreshing.The book covers data understanding, data preparation, data refinement, model building, model evaluation, and practical deployment.
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Hands-On Programming with R: Write Your Own Functions and Simulations()44,46 €
Hands-On Programming with R: Write Your Own Functions and Simulations
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Quantitative Data Analysis with IBM SPSS 17, 18 & 19: A Guide for Social Scientists(2011) ALAN BRYMANVezava: Mehka81,40 €
ALAN BRYMAN
Quantitative Data Analysis with IBM SPSS 17, 18 & 19: A Guide for Social Scientists
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Excel 2019 for Biological and Life Sciences Statistics(2020) QUIRK, THOMAS J.,QUIRK, MEGHAN H.,HORTON, HOWARD F.Newly revised to specifically address Microsoft Excel 2019, this book is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical biological and life science problems.99,21 €
QUIRK, THOMAS J.,QUIRK, MEGHAN H.,HORTON, HOWARD F.
Excel 2019 for Biological and Life Sciences Statistics
Newly revised to specifically address Microsoft Excel 2019, this book is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical biological and life science problems.
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Core Data Analysis: Summarization, Correlation, and Visualization(2019) MIRKIN, BORIS83,95 €
MIRKIN, BORIS
Core Data Analysis: Summarization, Correlation, and Visualization
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Course in Mathematical Statistics and Large Sample Theory(2016) BHATTACHARYA, RABI,LIN, LIZHEN,PATRANGENARU, VICTORThis graduate-level textbook is primarily aimed at graduate students of statistics, mathematics, science, and engineering who have had an undergraduate course in statistics, an upper division course in analysis, and some acquaintance with measure theoreti155,91 €
BHATTACHARYA, RABI,LIN, LIZHEN,PATRANGENARU, VICTOR
Course in Mathematical Statistics and Large Sample Theory
This graduate-level textbook is primarily aimed at graduate students of statistics, mathematics, science, and engineering who have had an undergraduate course in statistics, an upper division course in analysis, and some acquaintance with measure theoreti
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Statistics and Data Visualization Using R - The Art and Practice of Data Analysis(2021) DAVID S. BROWNVezava: Mehka222,41 €
DAVID S. BROWN
Statistics and Data Visualization Using R - The Art and Practice of Data Analysis
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Applied Statistics Using R - A Guide for the Social Sciences(2021) MATTHIAS MITTNERVezava: Mehka68,66 €
MATTHIAS MITTNER
Applied Statistics Using R - A Guide for the Social Sciences
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Basic Elements of Computational Statistics(2017) HARDLE, WOLFGANG KARL,OKHRIN, OSTAP,OKHRIN, YAREMAThis textbook on computational statistics presents tools and concepts of univariate and multivariate statistical data analysis with a strong focus on applications and implementations in the statistical software R.76,32 €
HARDLE, WOLFGANG KARL,OKHRIN, OSTAP,OKHRIN, YAREMA
Basic Elements of Computational Statistics
This textbook on computational statistics presents tools and concepts of univariate and multivariate statistical data analysis with a strong focus on applications and implementations in the statistical software R.
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