Computational statistics in the earth sciences: with applications in MATLAB (Record no. 1125)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02113 a2200205 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250416161256.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240425b2017|||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781107096004 |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | English |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 519.50285 C43 |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Chave, Alan D. |
| Relator term | Author |
| 245 ## - TITLE STATEMENT | |
| Title | Computational statistics in the earth sciences: with applications in MATLAB |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher | Cambridge University Press, |
| Year of publication | 2017. |
| Place of publication | UK: |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xiii, 451p.; 23cms. |
| 500 ## - GENERAL NOTE | |
| General note | 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.<br/>MATLAB examples, including scripts, are integrated with the underlying theory throughout the book, facilitating a 'learning by example' approach for those who are not mathematically inclined, and reinforcing concepts for those who are<br/>Exemplar data are taken from the Earth and ocean sciences, to make the examples more familiar to readers<br/>The new field of compositional data that pervades the Earth sciences is covered in the final chapter |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Earth sciences |
| General subdivision | Statistical methods |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Earth sciences-statistical methods |
| General subdivision | Data processing |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Mathematical statistics |
| General subdivision | Data processing |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Books |
| Withdrawn status | Lost status | Damaged status | Not for loan | Permanent Location | Current Location | Shelving location | Full call number | Accession Number | Copy number | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|
| Dr. S. R. Ranganathan Library | Dr. S. R. Ranganathan Library | General Stacks | 519.50285 C43 | 3162 | 1 | Books | ||||
| Dr. S. R. Ranganathan Library | Dr. S. R. Ranganathan Library | General Stacks | 519.50285 C43:1 | 3163 | 2 | Books |