عنوان
پدید آورنده
موضوع
رده
GC10.4.M36 G56 2011eb
GC10
.
4
.
M36
G56
2011eb
کتابخانه
محل استقرار
INTERNATIONAL STANDARD BOOK NUMBER
(Number (ISBN
0511975724
(Number (ISBN
0521867835
(Number (ISBN
1139137387
(Number (ISBN
1139138944
(Number (ISBN
1139139738
(Number (ISBN
1139140515
(Number (ISBN
1139141406
(Number (ISBN
1139144723
(Number (ISBN
1283315068
(Number (ISBN
1316088081
(Number (ISBN
6613315060
(Number (ISBN
9780511975721
(Number (ISBN
9780521867832
(Number (ISBN
9781139137386
(Number (ISBN
9781139138949
(Number (ISBN
9781139139731
(Number (ISBN
9781139140515
(Number (ISBN
9781139141406
(Number (ISBN
9781139144728
(Number (ISBN
9781283315067
(Number (ISBN
9781316088081
(Number (ISBN
9786613315069
Erroneous ISBN
9781139141406
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Modeling methods for marine science /
General Material Designation
[Book]
First Statement of Responsibility
David M. Glover, William J. Jenkins, and Scott C. Doney.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
New York, N.Y. :
Name of Publisher, Distributor, etc.
Cambridge University Press,
Date of Publication, Distribution, etc.
2011.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
1 online resource (xv, 571 pages) :
Other Physical Details
illustrations, maps
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references (pages 552-563) and index.
CONTENTS NOTE
Text of Note
Cover; Title; Copyright; Dedication; Contents; Preface; 1 Resources, MATLAB primer, and introduction to linear algebra; 1.1 Resources; 1.2 Nomenclature; 1.3 A MATLAB primer; 1.4 Basic linear algebra; 1.5 Problems; 2 Measurement theory, probability distributions, error propagation and analysis; 2.1 Measurement theory; 2.1.1 Systems of measurements (scales); 2.1.2 Precision versus accuracy; 2.1.3 Systematic versus random errors; 2.1.4 Significant figures and roundoff; 2.1.5 Computational roundoff and truncation; 2.2 The normal distribution; 2.2.1 Parent versus sample distributions.
Text of Note
2.2.2 Mean/median/mode/moments2.2.3 The normal (Gaussian) distribution; 2.2.4 Testing a normal distribution; 2.2.5 Standardization and normalization (Z-scores); 2.2.6 Calculating normal probabilities; 2.3 Doing the unspeakable: throwing out data points?; 2.3.1 Chauvenet's criterion; 2.4 Error propagation; 2.4.1 The general equation; 2.4.2 Assumptions regarding independence or orthogonality; 2.5 Statistical tests and the hypothesis; 2.5.1 Hypothesis building and test; 2.5.2 Example 1: testing a null hypothesis; 2.5.3 Example 2: testing for a normal distribution; 2.6 Other distributions.
Text of Note
2.6.1 Student's t-distribution2.6.2 The F-distribution; 2.6.3 Poisson distribution; 2.6.4 Weibull distributions; 2.6.5 Log-normal transformations; 2.7 The central limit theorem; 2.8 Covariance and correlation; 2.8.1 Analysis of variance (ANOVA); 2.9 Basic non-parametric tests; 2.9.1 Spearman rank-order correlation coefficient; 2.9.2 Kendall's tau; 2.9.3 Wilcoxon signed-rank test; 2.9.4 Kruskal-Wallis ANOVA; 2.9.5 Mann-Whitney rank-sum test; 2.10 Problems; 3 Least squares and regression techniques, goodness of fit and tests, and nonlinear least squares techniques.
Text of Note
3.1 Statistical basis for regression3.1.1 The chi-squared (?2) defined (and goodness of fit); 3.1.2 Look at your residuals; 3.2 Least squares fitting a straight line; 3.2.1 Doing things the hard way (the normal equations); 3.2.2 Uncertainties in coefficients; 3.2.3 Uncertainties in an estimated y-value; 3.2.4 Example: ocean heat content; 3.2.5 Type II regressions (two dependent variables); 3.3 General linear least squares technique; 3.3.1 Choose your model functions wisely; 3.3.2 There is an easier way: the design matrix approach; 3.3.3 Solving the design matrix equation with SVD.
Text of Note
3.3.4 Multi-dimensional regressions3.3.5 Transformably linear models; 3.3.6 Non-coefficients; 3.4 Nonlinear least squares techniques; 3.4.1 Iterative techniques; 3.4.2 Uncertainties in nonlinear coefficients; 3.4.3 Example: Exponential phytoplankton growth; 3.4.4 Example: Gaussian on a constant background; 3.5 Problems; 4 Principal component and factor analysis; 4.1 Conceptual foundations; 4.1.1 The data matrix and the covariance matrix; 4.1.2 Standardization and normalization; 4.1.3 Linear independence and basis functions; 4.2 Splitting and lumping; 4.2.1 Discriminant analysis.
0
8
8
8
8
SUMMARY OR ABSTRACT
Text of Note
This is a textbook on modelling, data analysis and numerical techniques for advanced students and researchers in chemical, biological, geological and physical oceanography.
ACQUISITION INFORMATION NOTE
Source for Acquisition/Subscription Address
MIL
Stock Number
331506
OTHER EDITION IN ANOTHER MEDIUM
Title
Modeling methods for marine science.
International Standard Book Number
9780521867832
TOPICAL NAME USED AS SUBJECT
Marine sciences-- Mathematical models.
Marine sciences, Statistics.
Oceanography-- Mathematical models.
Oceanography, Statistics.
Marine sciences.
NATURE-- Ecosystems & Habitats-- Oceans & Seas.
Oceanography-- Mathematical models.
Oceanography.
SCIENCE-- Earth Sciences-- Oceanography.
(SUBJECT CATEGORY (Provisional
NAT-- 025000
SCI-- 052000
DEWEY DECIMAL CLASSIFICATION
Number
551
.
4/6/015118
Edition
22
LIBRARY OF CONGRESS CLASSIFICATION
Class number
GC10
.
4
.
M36
Book number
G56
2011eb
PERSONAL NAME - PRIMARY RESPONSIBILITY
Glover, David M.
PERSONAL NAME - ALTERNATIVE RESPONSIBILITY
Doney, Scott Christopher.
Jenkins, William J.
ORIGINATING SOURCE
Date of Transaction
20200822120422.0
Cataloguing Rules (Descriptive Conventions))
pn
ELECTRONIC LOCATION AND ACCESS
Electronic name
مطالعه متن کتاب [Book]
Y
