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Understanding and Applying Basic Statistical Methods Using R

Applying Basic Statistical Methods Using R uniquely bridges the gap between advances in the statistical literature and methods routinely used by;

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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;

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Introduction to Multivariate Statistical Analysis in Chemometrics

Using formal descriptions, graphical illustrations, practical examples, and R software tools, Introduction to Multivariate Statistical;

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Cause & Correlation In Biology

cannot be performed. This completely revised and updated edition features detailed explanations for carrying out statistical methods using the;

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Nonparametric Statistical Methods Using R

A Practical Guide to Implementing Nonparametric and Rank-Based Procedures Nonparametric Statistical Methods Using R covers traditional;

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Nonparametric Statistical Methods Using R

A Practical Guide to Implementing Nonparametric and Rank-Based Procedures Nonparametric Statistical Methods Using R covers;

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Handbook of Basic Statistical Concepts

HANDBOOK OF BASIC STATISTICAL CONCEPTS: For Scientists and Pharmacists explains the fundamentals of frequently used statistical methods;

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Statistical Computing with R

feature R, Statistical Computing with R covers the traditional core material of computational statistics, with an emphasis on using the R language;

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Basic Statistics in Criminology and Criminal Justice

in crime and justice. This text is meant for both students and professionals who want to gain a basic understanding of common statistical methods;

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Basic Statistics in Criminology and Criminal Justice

in crime and justice. This text is meant for both students and professionals who want to gain a basic understanding of common statistical methods;

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Basic Statistics with R

- basic probability, and statistical inference - including hypothesis testing and confidence intervals. All topics are taught using real-data;

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Statistics Using R

explaining appropriate statistical methods for the problems at hand and indicating how these methods can be implemented using the R language. For a;

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A Mathematical Primer for Social Statistics

statistics. A companion website includes materials that enable readers to use the R statistical computing environment to reproduce and explore;

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Comparing Groups

A hands-on guide to using R to carry out key statistical practices in educational and behavioral sciences research Computing has become an;

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Bayesian Inverse Problems

implement advanced statistical methods and uncertainty quantification techniques using computational tools. Understand cutting edge research;

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Applied Statistics - Principles and Examples

This book outlines some of the general ideas involved in applying statistical methods. It discusses some special problems, to illustrate;

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Using R at the Bench

reference guide for elementary and intermediate statistical analyses using the free/public software package known as "R." The expectations for;

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Using Statistics in the Social and Health Sciences with SPSS and Excel

explaining SPSS(R) and Excel(R) applications This book identifies connections between statistical applications and research design using cases;

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Biostatistical Health Research Excel

Excel(R) provides statistical concepts for interpreting results using Excel. The book emphasizes the application of methods and presents the;

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Epidemiological Research Methods

, and study credibility issues, the author continues with basic statistical methods and techniques for adjusting risk estimates for confounders;

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Statistics with R

Statistics is made simple with this award-winning guide to using R and applied statistical methods. With a clear step-by-step;

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Statistics with R

Statistics is made simple with this award-winning guide to using R and applied statistical methods. With a clear step-by-step;

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Statistical Methods In Biology

data in detail to illustrate the use of basic formulae for simple examples while using the GenStat (R) statistical package for more complex;

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An Introduction to Data Analysis in R

such as the fundamentals of programming in R, data collection and preprocessing, including web scraping, data visualization, and statistical;

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Applied Statistics for Environmental Science with R

Applied Statistics for Environmental Science with R presents the theory and application of statistical techniques in environmental;

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Introdu To Statistical Computing

examples and exercises. * Provides answers to the exercises (using the statistical computing environment R); the corresponding source code;

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An Introduction to Clustering with R

in soft clustering. Attention is paid to practical examples and applications through the open source statistical software R. Commented R code and;

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