000			01716 a2200229 4500
005			20250319154729.0
008			190104b xxu||||| |||| 00| 0 eng d
020			_a9781107096004
040			_cIIT Kanpur
041			_aeng
082			_a519.50285 _bC398c
100			_aChave, Alan D.
245			_aComputational statistics in the earth sciences _bwith applications in MATLAB _cAlan D. Chave
260			_bCambridge University Press _c2017 _aCambridge
300			_axiii,451p.
500			_aIncludes bibliographical references and index
520			_aBased 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.
650			_aEarth sciences -- Statistical methods -- Data processing
650			_aEarth sciences -- Statistical methods
650			_aMATLAB
942			_cBK
999			_c559920 _d559920