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LEADER 00000cam a2200721 a 4500
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082 04 363.7001/5118
082 04 363.7001/5118
099 eBook O’Reilly for Public Libraries
100 1 Menke, William.
245 10 Environmental data analysis with MatLab /|cWilliam Menke,
Joshua Menke.|h[O'Reilly electronic resource]
250 1st ed.
260 Amsterdam ;|aBoston :|bElsevier,|c2012.
300 1 online resource (xviii, 263 pages) :|billustrations
336 text|btxt|2rdacontent
337 computer|bc|2rdamedia
338 online resource|bcr|2rdacarrier
347 text file
504 Includes bibliographical references and index.
505 0 Front Cover; Environmental Data Analysis with MatLab;
Copyright; Dedication; Preface; Advice on scripting for
beginners; Contents; Chapter 1: Data analysis with MatLab;
1.1. Why MatLab?; 1.2. Getting started with MatLab; 1.3.
Getting organized; 1.4. Navigating folders; 1.5. Simple
arithmetic and algebra; 1.6. Vectors and matrices; 1.7.
Multiplication of vectors of matrices; 1.8. Element
access; 1.9. To loop or not to loop; 1.10. The matrix
inverse; 1.11. Loading data from a file; 1.12. Plotting
data; 1.13. Saving data to a file; 1.14. Some advice on
writing scripts; Problems
505 8 Chapter 2: A first look at data2.1. Look at your data!;
2.2. More on MatLab graphics; 2.3. Rate information; 2.4.
Scatter plots and their limitations; Problems; Chapter 3:
Probability and what it has to do with data analysis; 3.1.
Random variables; 3.2. Mean, median, and mode; 3.3.
Variance; 3.4. Two important probability density
functions; 3.5. Functions of a random variable; 3.6. Joint
probabilities; 3.7. Bayesian inference; 3.8. Joint
probability density functions; 3.9. Covariance; 3.10.
Multivariate distributions; 3.11. The multivariate Normal
distributions
505 8 3.12. Linear functions of multivariate dataProblems;
Chapter 4: The power of linear models; 4.1. Quantitative
models, data, and model parameters; 4.2. The simplest of
quantitative models; 4.3. Curve fitting; 4.4. Mixtures;
4.5. Weighted averages; 4.6. Examining error; 4.7. Least
squares; 4.8. Examples; 4.9. Covariance and the behavior
of error; Problems; Chapter 5: Quantifying preconceptions;
5.1. When least square fails; 5.2. Prior information; 5.3.
Bayesian inference; 5.4. The product of Normal probability
density distributions; 5.5. Generalized least squares
505 8 5.6. The role of the covariance of the data5.7. Smoothness
as prior information; 5.8. Sparse matrices; 5.9.
Reorganizing grids of model parameters; Problems; Chapter
6: Detecting periodicities; 6.1. Describing sinusoidal
oscillations; 6.2. Models composed only of sinusoidal
functions; 6.3. Going complex; 6.4. Lessons learned from
the integral transform; 6.5. Normal curve; 6.6. Spikes;
6.7. Area under a function; 6.8. Time-delayed function;
6.9. Derivative of a function; 6.10. Integral of a
function; 6.11. Convolution; 6.12. Nontransient signals;
Problems
505 8 Chapter 7: The past influences the present7.1. Behavior
sensitive to past conditions; 7.2. Filtering as
convolution; 7.3. Solving problems with filters; 7.4.
Predicting the future; 7.5. A parallel between filters and
polynomials; 7.6. Filter cascades and inverse filters;
7.7. Making use of what you know; Problems; Chapter 8:
Patterns suggested by data; 8.1. Samples as mixtures; 8.2.
Determining the minimum number of factors; 8.3.
Application to the Atlantic Rocks dataset; 8.4. Spiky
factors; 8.5. Time-Variable functions; Problems; Chapter 9
: Detecting correlations among data
520 Environmental Data Analysis with MatLab is for students
and researchers working to analyze real data sets in the
environmental sciences. One only has to consider the
global warming debate to realize how critically important
it is to be able to derive clear conclusions from often-
noisy data drawn from a broad range of sources. This book
teaches the basics of the underlying theory of data
analysis, and then reinforces that knowledge with
carefully chosen, realistic scenarios. MatLab, a
commercial data processing environment, is used in these
scenarios; significant content is devoted to teachi.
546 English.
588 0 Print version record.
590 O'Reilly|bO'Reilly Online Learning: Academic/Public
Library Edition
630 00 MATLAB.
630 07 MATLAB.|2blmlsh
630 07 MATLAB|2fast
650 0 Environmental sciences|xMathematical models.
650 0 Environmental sciences|xData processing.
650 6 Sciences de l'environnement|xModèles mathématiques.
650 6 Sciences de l'environnement|xInformatique.
650 7 Environmental sciences|xData processing|2fast
650 7 Environmental sciences|xMathematical models|2fast
700 1 Menke, Joshua E.|q(Joshua Ephraim),|d1976-|1https://
id.oclc.org/worldcat/entity/E39PCjHW7xvcqFfVTwPmvDHw83
776 08 |iPrint version:|aMenke, William.|tEnvironmental data
analysis with MatLab.|b1st ed.|dAmsterdam ; Boston :
Elsevier, 2012|z9780123918864|w(DLC) 2011014689
|w(OCoLC)712114353
856 40 |uhttps://ezproxy.naperville-lib.org/login?url=https://
learning.oreilly.com/library/view/~/9780123918864/?ar
|zAvilable on O'Reilly for Public Libraries
994 92|bJFN