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180511s2018 enk o 000 0 eng d |
| 005 |
20221130134016.2 |
| 020 |
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|a 9780128135563
|q (electronic bk.)
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| 020 |
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|a 0128135565
|q (electronic bk.)
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| 020 |
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|z 9780128135556
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|a 99982631296
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|a (NhCcYBP)ebc5347046
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|a in00004046513
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|a NhCcYBP
|c NhCcYBP
|d UtOrBLW
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| 050 |
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|a QC802.A1
|b M45 2018
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| 072 |
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7 |
|a SCI
|x 030000
|2 bisacsh
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| 072 |
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|a SCI
|x 031000
|2 bisacsh
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| 082 |
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|a 551
|2 23
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| 100 |
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|a Menke, William,
|e author.
|0 http://id.loc.gov/authorities/names/n83158476
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| 245 |
1 |
0 |
|a Geophysical data analysis :
|b discrete inverse theory /
|c William Menke.
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| 250 |
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|a Fourth edition.
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| 264 |
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1 |
|a London, United Kingdom :
|b Elsevier Ltd. :
|b Academic Press,
|c [2018]
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| 300 |
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|a 1 online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 500 |
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|a Includes index.
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| 588 |
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|a Online resource; title from PDF title page (EBSCO, viewed April 17, 2018).
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| 505 |
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|a Intro; Title page; Table of Contents; Copyright; Preface; Introduction; I.1 Forward and Inverse Theories; I.2 MATLAB as a Tool for Learning Inverse Theory; I.3 A Very Quick MATLAB Tutorial; I.4 Review of Vectors and Matrices and Their Representation in MATLAB; I.5 Useful MatLab Operations; Chapter 1: Describing Inverse Problems; Abstract; 1.1 Formulating Inverse Problems; 1.2 The Linear Inverse Problem; 1.3 Examples of Formulating Inverse Problems; 1.4 Solutions to Inverse Problems; 1.5 Problems; Chapter 2: Some Comments on Probability Theory; Abstract; 2.1 Noise and Random Variables
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| 505 |
8 |
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|a 2.2 Correlated Data2.3 Functions of Random Variables; 2.4 Gaussian Probability Density Functions; 2.5 Testing the Assumption of Gaussian Statistics; 2.6 Conditional Probability Density Functions; 2.7 Confidence Intervals; 2.8 Computing Realizations of Random Variables; 2.9 Problems; Chapter 3: Solution of the Linear, Gaussian Inverse Problem, Viewpoint 1: The Length Method; Abstract; 3.1 The Lengths of Estimates; 3.2 Measures of Length; 3.3 Least Squares for a Straight Line; 3.4 The Least Squares Solution of the Linear Inverse Problem; 3.5 Some Examples
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| 505 |
8 |
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|a 3.6 The Existence of the Least Squares Solution3.7 The Purely Underdetermined Problem; 3.8 Mixed-Determined Problems; 3.9 Weighted Measures of Length as a Type of Prior Information; 3.10 Other Types of Prior Information; 3.11 The Variance of the Model Parameter Estimates; 3.12 Variance and Prediction Error of the Least Squares Solution; 3.13 Problems; Chapter 4: Solution of the Linear, Gaussian Inverse Problem, Viewpoint 2: Generalized Inverses; Abstract; 4.1 Solutions Versus Operators; 4.2 The Data Resolution Matrix; 4.3 The Model Resolution Matrix; 4.4 The Unit Covariance Matrix
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| 505 |
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|a 4.5 Resolution and Covariance of Some Generalized Inverses4.6 Measures of Goodness of Resolution and Covariance; 4.7 Generalized Inverses With Good Resolution and Covariance; 4.8 Sidelobes and the Backus-Gilbert Spread Function; 4.9 The Backus-Gilbert Generalized Inverse for the Underdetermined Problem; 4.10 Including the Covariance Size; 4.11 The Trade-Off of Resolution and Variance; 4.12 Checkerboard Tests; 4.13 Problems; Chapter 5: Solution of the Linear, Gaussian Inverse Problem, Viewpoint 3: Maximum Likelihood Methods; Abstract; 5.1 The Mean of a Group of Measurements
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| 505 |
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|a 5.2 Maximum Likelihood Applied to Inverse Problem5.3 Model Resolution in the Presence of Prior Information; 5.4 Relative Entropy as a Guiding Principle; 5.5 Equivalence of the Three Viewpoints; 5.6 Chi-Square Test for the Compatibility of the Prior and Posterior Error; 5.7 The F-test of the Error Improvement Significance; 5.8 Problems; Chapter 6: Nonuniqueness and Localized Averages; Abstract; 6.1 Null Vectors and Nonuniqueness; 6.2 Null Vectors of a Simple Inverse Problem; 6.3 Localized Averages of Model Parameters; 6.4 Relationship to the Resolution Matrix; 6.5 Averages Versus Estimates
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| 500 |
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|a Electronic resource.
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| 650 |
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|a Geophysics
|x Measurement.
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| 650 |
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|a Oceanography
|x Measurement.
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| 650 |
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0 |
|a Inverse problems (Differential equations)
|x Numerical solutions.
|0 http://id.loc.gov/authorities/subjects/sh85067685
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| 655 |
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7 |
|a Electronic books.
|2 local
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| 710 |
2 |
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|a ProQuest (Firm)
|0 http://id.loc.gov/authorities/names/n2007068018
|
| 856 |
4 |
0 |
|u https://ebookcentral.proquest.com/lib/tamucs/detail.action?docID=5347046
|z Connect to the full text of this electronic book
|t 0
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| 945 |
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|a machinegen
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| 955 |
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|a YBP purchased DDA e-records
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| 980 |
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|b 225.00
|g 1
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|t 0
|
| 952 |
f |
f |
|a Texas A&M University
|b College Station
|c Electronic Resources
|d Available Online
|t 0
|e QC802.A1 M45 2018
|h Library of Congress classification
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| 998 |
f |
f |
|a QC802.A1 M45 2018
|t 0
|l Available Online
|