Computational Statistics in the Earth Sciences - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computational Statistics in the Earth Sciences write by Alan D. Chave. This book was released on 2017-10-19. Computational Statistics in the Earth Sciences available in PDF, EPUB and Kindle. Based on a course taught by the author, this book combines the theoretical underpinnings of statistics with the practical analysis of Earth sciences data using MATLAB. The book is organized to introduce the underlying concepts, and then extends these to the data, covering methods that are most applicable to Earth sciences. Topics include classical parametric estimation and hypothesis testing, and more advanced least squares-based, nonparametric, and resampling estimators. Multivariate data analysis, not often encountered in introductory texts, is presented later in the book, and compositional data is treated at the end. Datasets and bespoke MATLAB scripts used in the book are available online, as well as additional datasets and suggested questions for use by instructors. Aimed at entering graduate students and practicing researchers in the Earth and ocean sciences, this book is ideal for those who want to learn how to analyse data using MATLAB in a statistically-rigorous manner.
Basic Elements of Computational Statistics
Basic Elements of Computational Statistics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Basic Elements of Computational Statistics write by Wolfgang Karl Härdle. This book was released on 2017-09-29. Basic Elements of Computational Statistics available in PDF, EPUB and Kindle. 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. It covers mathematical, statistical as well as programming problems in computational statistics and contains a wide variety of practical examples. In addition to the numerous R sniplets presented in the text, all computer programs (quantlets) and data sets to the book are available on GitHub and referred to in the book. This enables the reader to fully reproduce as well as modify and adjust all examples to their needs. The book is intended for advanced undergraduate and first-year graduate students as well as for data analysts new to the job who would like a tour of the various statistical tools in a data analysis workshop. The experienced reader with a good knowledge of statistics and programming might skip some sections on univariate models and enjoy the various ma thematical roots of multivariate techniques. The Quantlet platform quantlet.de, quantlet.com, quantlet.org is an integrated QuantNet environment consisting of different types of statistics-related documents and program codes. Its goal is to promote reproducibility and offer a platform for sharing validated knowledge native to the social web. QuantNet and the corresponding Data-Driven Documents-based visualization allows readers to reproduce the tables, pictures and calculations inside this Springer book.
Statistics of Earth Science Data
Statistics of Earth Science Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistics of Earth Science Data write by Graham J. Borradaile. This book was released on 2013-11-11. Statistics of Earth Science Data available in PDF, EPUB and Kindle. From the reviews: "All in all, Graham Borradaile has written and interesting and idiosyncratic book on statistics for geoscientists that will be welcome among students, researchers, and practitioners dealing with orientation data. That should include engineering geologists who work with things like rock fracture orientation measurements or clast alignment in paleoseismic trenches. It won’t replace the collection of statistics and geostatistics texts in my library, but it will have a place among them and will likely be one of several references to which I turn when working with orientation data.... The text is easy to follow and illustrations are generally clear and easy to read..."(William C. Haneberg, Haneberg Geoscience)
Computational Statistics with R
Computational Statistics with R - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computational Statistics with R write by . This book was released on 2014-11-27. Computational Statistics with R available in PDF, EPUB and Kindle. R is open source statistical computing software. Since the R core group was formed in 1997, R has been extended by a very large number of packages with extensive documentation along with examples freely available on the internet. It offers a large number of statistical and numerical methods and graphical tools and visualization of extraordinarily high quality. R was recently ranked in 14th place by the Transparent Language Popularity Index and 6th as a scripting language, after PHP, Python, and Perl. The book is designed so that it can be used right away by novices while appealing to experienced users as well. Each article begins with a data example that can be downloaded directly from the R website. Data analysis questions are articulated following the presentation of the data. The necessary R commands are spelled out and executed and the output is presented and discussed. Other examples of data sets with a different flavor and different set of commands but following the theme of the article are presented as well. Each chapter predents a hands-on-experience. R has superb graphical outlays and the book brings out the essentials in this arena. The end user can benefit immensely by applying the graphics to enhance research findings. The core statistical methodologies such as regression, survival analysis, and discrete data are all covered. - Addresses data examples that can be downloaded directly from the R website - No other source is needed to gain practical experience - Focus on the essentials in graphical outlays
Computational Statistics in the Earth Sciences
Computational Statistics in the Earth Sciences - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computational Statistics in the Earth Sciences write by Alan D. Chave. This book was released on 2017-10-19. Computational Statistics in the Earth Sciences available in PDF, EPUB and Kindle. This book combines theoretical underpinnings of statistics with practical analysis of Earth sciences data using MATLAB. Supplementary resources are available online.
