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Introduction to Statistical Data Analysis for the Life Sciences de Claus Thorn Ekstrom,Helle Sørensen
Descripción - Reseña del editor A Hands-On Approach to Teaching Introductory Statistics Expanded with over 100 more pages, Introduction to Statistical Data Analysis for the Life Sciences, Second Edition presents the right balance of data examples, statistical theory, and computing to teach introductory statistics to students in the life sciences. This popular textbook covers the mathematics underlying classical statistical analysis, the modeling aspects of statistical analysis and the biological interpretation of results, and the application of statistical software in analyzing real-world problems and datasets. New to the Second Edition A new chapter on non-linear regression models A new chapter that contains examples of complete data analyses, illustrating how a full-fledged statistical analysis is undertaken Additional exercises in most chapters A summary of statistical formulas related to the specific designs used to teach the statistical concepts This text provides a computational toolbox that enables students to analyze real datasets and gain the confidence and skills to undertake more sophisticated analyses. Although accessible with any statistical software, the text encourages a reliance on R. For those new to R, an introduction to the software is available in an appendix. The book also includes end-of-chapter exercises as well as an entire chapter of case exercises that help students apply their knowledge to larger datasets and learn more about approaches specific to the life sciences.
an introduction to statistical analysis in an introduction to statistical analysis in research with applications in the biological and life sciences develops a conceptual foundation in statistical analysis while providing readers with opportunities to practice these skills via researchbased data sets in biology, kinesiology, and physical anthropology Data analysis for life sciences harvard university the data analysis for life sciences series is a collection of online courses including statistics and r, introduction to linear models and matrix algebra, and statistical inference and modeling for highthroughput experiments Introduction to statistical data analysis for the life get this from a library introduction to statistical data analysis for the life sciences claus thorn ekstrøm helle sørensen
An introduction to statistical analysis in research an introduction to statistical analysis in research with applications in the biological and life sciences develops a conceptual foundation in statistical analysis while providing readers with opportunities to practice these skills via researchbased data sets in biology, kinesiology, and physical anthropology Introduction to statistical data analysis with r bookboon the book offers an introduction to statistical data analysis applying the free statistical software r, probably the most powerful statistical software today the analyses are performed and discussed using real data after a brief description of the statistical software r, important parameters and diagrams of descriptive statistics are introduced Longnecker, m an introduction to statistical methods and ott and longneckers an introduction to statistical methods and data analysis, seventh edition, provides a broad overview of statistical methods for advanced undergraduate and graduate students from a variety of disciplines who have little or no prior course work in statistics
Detalles del Libro
- Name: Introduction to Statistical Data Analysis for the Life Sciences
- Autor: Claus Thorn Ekstrom,Helle Sørensen
- Categoria: Libros,Libros universitarios y de estudios superiores,Medicina y ciencias de la salud
- Tamaño del archivo: 10 MB
- Tipos de archivo: PDF Document
- Idioma: Español
- Archivos de estado: AVAILABLE
Descargar Introduction to Statistical Data Analysis for the Life Sciences de Claus Thorn Ekstrom,Helle Sørensen libros ebooks
Introduction to statistical data analysis for the life a handson approach to teaching introductory statistics expanded with over 100 more pages, introduction to statistical data analysis for the life sciences, second edition presents the right balance of data examples, statistical theory, and computing to teach introductory statistics to students in the life sciences this popular textbook covers the mathematics underlying classical statistical Statistical analysis handbook statsref time series analysis and temporal autoregression 171 moving averages 588 172 trend analysis 593 173 arma and arima boxjenkins models 599 174 spectral analysis 608 18 resources 611 181 distribution tables 614 182 bibliography 629 183 statistical software 638 184 test datasets and data archives 640 185 websites 653 Introduction to statistical data analysis for the life get this from a library introduction to statistical data analysis for the life sciences claus thorn ekstrøm helle sørensen any practical introduction to statistics in the life sciences requires a focus on applications and computational statistics combined with a reasonable level of mathematical rigor it must offer the
Data analysis for the life sciences we start with one of the most important topics in statistics and in the life sciences statistical we focus on the practical challenges faced by data analysts in the life sciences and introduce a very common operation in data analysis is to sum several numbers Data analysis for the life sciences pdf books library land any practical introduction to statistics in the life sciences requires a focus on applications and computational statistics combined with a reasonable level of mathematical rigor it must offer the right combination of data examples, statistical theory, and computing required for analysis today An introduction to statistical analysis in research with about this book an introduction to statistical analysis in research with applications in the biological and life sciences develops a conceptual foundation in statistical analysis while providing readers with opportunities to practice these skills via researchbased data sets in biology, kinesiology, and physical anthropology
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