000 -LEADER |
fixed length control field |
nam a22 4500 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
240314b xxu||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9783319044491 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
551.60727 |
Item number |
MUD |
100 ## - MAIN ENTRY--PERSONAL NAME |
Personal name |
Mudelsee, Manfred |
245 ## - TITLE STATEMENT |
Title |
Climate time series analysis : classical statistical and bootstrap methods |
250 ## - EDITION STATEMENT |
Edition statement |
2nd ed. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Name of publisher, distributor, etc |
Springer, |
Date of publication, distribution, etc |
2014 |
Place of publication, distribution, etc |
Cham : |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xxxii, 454 p. ; |
Other physical details |
ill., |
Dimensions |
24 cm. |
365 ## - TRADE PRICE |
Price amount |
179.00 |
Price type code |
€ |
Unit of pricing |
93.50 |
490 ## - SERIES STATEMENT |
Series statement |
Atmospheric and oceanographic sciences library ; |
Volume number/sequential designation |
v51 |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc |
Includes bibliographical references and indexes. |
520 ## - SUMMARY, ETC. |
Summary, etc |
Climate is a paradigm of a complex system. Analysing climate data is an exciting challenge, which is increased by non-normal distributional shape, serial dependence, uneven spacing and timescale uncertainties. This book presents bootstrap resampling as a computing-intensive method able to meet the challenge. It shows the bootstrap to perform reliably in the most important statistical estimation techniques: regression, spectral analysis, extreme values and correlation. This book is written for climatologists and applied statisticians. It explains step by step the bootstrap algorithms (including novel adaptions) and methods for confidence interval construction. It tests the accuracy of the algorithms by means of Monte Carlo experiments. It analyses a large array of climate time series, giving a detailed account on the data and the associated climatological questions. '...comprehensive mathematical and statistical summary of time-series analysis techniques geared towards climate applications...accessible to readers with knowledge of college-level calculus and statistics.' (Computers and Geosciences) 'A key part of the book that separates it from other time series works is the explicit discussion of time uncertainty...a very useful text for those wishing to understand how to analyse climate time series.' (Journal of Time Series Analysis) '...outstanding. One of the best books on advanced practical time series analysis I have seen. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Climatology |
|
Topical term or geographic name as entry element |
Statistical methods |
|
Topical term or geographic name as entry element |
Earth sciences geography |
|
Topical term or geographic name as entry element |
Atmospheric Sciences |
|
Topical term or geographic name as entry element |
Correlation Statistics |
|
Topical term or geographic name as entry element |
Climatic Regression |
|
Topical term or geographic name as entry element |
Frequency Analysis |
|
Topical term or geographic name as entry element |
Weather and Statistics |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
|
Item type |
Books |