عنوان

Understanding least squares estimation and geomatics data analysis /

شابک

1119501407

شابک

111950144X

شابک

1119501458

شابک

9781119501404

شابک

9781119501442

شابک

9781119501459

شابک اشتباه

1119501393

شابک اشتباه

9781119501398

عنوان اصلي

Understanding least squares estimation and geomatics data analysis /

نام عام مواد

[Book]

نام نخستين پديدآور

John Olusegun Ogundare.

وضعيت ويراست

1st edition.

محل نشرو پخش و غیره

Hoboken, NJ :

نام ناشر، پخش کننده و غيره

John Wiley & Sons,

تاریخ نشرو بخش و غیره

2018.

نام خاص و کميت اثر

1 online resource

متن يادداشت

Includes bibliographical references and index.

متن يادداشت

Intro; Title Page; Copyright Page; Contents; Preface; Acknowledgments; About the Author; About the Companion Website; Chapter 1 Introduction; 1.1 Observables and Observations; 1.2 Significant Digits of Observations; 1.3 Concepts of Observation Model; 1.4 Concepts of Stochastic Model; 1.4.1 Random Error Properties of Observations; 1.4.2 Standard Deviation of Observations; 1.4.3 Mean of Weighted Observations; 1.4.4 Precision of Observations; 1.4.5 Accuracy of Observations; 1.5 Needs for Adjustment; 1.6 Introductory Matrices; 1.6.1 Sums and Products of Matrices; 1.6.2 Vector Representation.

متن يادداشت

1.6.3 Basic Matrix Operations1.7 Covariance, Cofactor, and Weight Matrices; 1.7.1 Covariance and Cofactor Matrices; 1.7.2 Weight Matrices; Problems; Chapter 2 Analysis and Error Propagation of Survey Observations; 2.1 Introduction; 2.2 Model Equations Formulations; 2.3 Taylor Series Expansion of Model Equations; 2.3.1 Using MATLAB to Determine Jacobian Matrix; 2.4 Propagation of Systematic and Gross Errors; 2.5 Variance-Covariance Propagation; 2.6 Error Propagation Based on Equipment Specifications; 2.6.1 Propagation for Distance Based on Accuracy Specification.

متن يادداشت

2.6.2 Propagation for Direction (Angle) Based on Accuracy Specification2.6.3 Propagation for Height Difference Based on Accuracy Specification; 2.7 Heuristic Rule for Covariance Propagation; Problems; Chapter 3 Statistical Distributions and Hypothesis Tests; 3.1 Introduction; 3.2 Probability Functions; 3.2.1 Normal Probability Distributions and Density Functions; 3.3 Sampling Distribution; 3.3.1 Studentś t-Distribution; 3.3.2 Chi-square and Fisherś F-distributions; 3.4 Joint Probability Function; 3.5 Concepts of Statistical Hypothesis Tests; 3.6 Tests of Statistical Hypotheses.

متن يادداشت

3.6.1 Test of Hypothesis on a Single Population Mean3.6.2 Test of Hypothesis on Difference of Two Population Means; 3.6.3 Test of Measurements Against the Means; 3.6.4 Test of Hypothesis on a Population Variance; 3.6.5 Test of Hypothesis on Two Population Variances; Problems; Chapter 4 Adjustment Methods and Concepts; 4.1 Introduction; 4.2 Traditional Adjustment Methods; 4.2.1 Transit Rule Method of Adjustment; 4.2.2 Compass (Bowditch) Rule Method; 4.2.3 Crandallś Rule Method; 4.3 The Method of Least Squares; 4.3.1 Least Squares Criterion; 4.4 Least Squares Adjustment Model Types.

متن يادداشت

4.5 Least Squares Adjustment Steps4.6 Network Datum Definition and Adjustments; 4.6.1 Datum Defect and Configuration Defect; 4.7 Constraints in Adjustment; 4.7.1 Minimal Constraint Adjustments; 4.7.2 Overconstrained and Weight-Constrained Adjustments; 4.7.3 Adjustment Constraints Examples; 4.8 Comparison of Different Adjustment Methods; 4.8.1 General Discussions; Problems; Chapter 5 Parametric Least Squares Adjustment: Model Formulation; 5.1 Parametric Model Equation Formulation; 5.1.1 Distance Observable; 5.1.2 Azimuth and Horizontal (Total Station) Direction Observables.

بدون عنوان

0

بدون عنوان

8

بدون عنوان

8

بدون عنوان

8

بدون عنوان

8

متن يادداشت

Provides a modern approach to least squares estimation and data analysis for undergraduate land surveying and geomatics programs Rich in theory and concepts, this comprehensive book on least square estimation and data analysis provides examples that are designed to help students extend their knowledge to solving more practical problems. The sample problems are accompanied by suggested solutions, and are challenging, yet easy enough to manually work through using simple computing devices, and chapter objectives provide an overview of the material contained in each section. Understanding Least Squares Estimation and Geomatics Data Analysis begins with an explanation of survey observables, observations, and their stochastic properties. It reviews matrix structure and construction and explains the needs for adjustment. Next, it discusses analysis and error propagation of survey observations, including the application of heuristic rule for covariance propagation. Then, the important elements of statistical distributions commonly used in geomatics are discussed. Main topics of the book include: concepts of datum definitions; the formulation and linearization of parametric, conditional and general model equations involving typical geomatics observables; geomatics problems; least squares adjustments of parametric, conditional and general models; confidence region estimation; problems of network design and pre-analysis; three-dimensional geodetic network adjustment; nuisance parameter elimination and the sequential least squares adjustment; post-adjustment data analysis and reliability; the problems of datum; mathematical filtering and prediction; an introduction to least squares collocation and the kriging methods; and more. ' -Contains ample concepts/theory and content, as well as practical and workable examples -Based on the author's manual, which he developed as a complete and comprehensive book for his Adjustment of Surveying Measurements and Special Topics in Adjustments courses -Provides geomatics undergraduates and geomatics professionals with required foundational knowledge -An excellent companion to Precision Surveying: The Principles and Geomatics Practice Understanding Least Squares Estimation and Geomatics Data Analysis is recommended for undergraduates studying geomatics, and will benefit many readers from a variety of geomatics backgrounds, including practicing surveyors/engineers who are interested in least squares estimation and data analysis, geomatics researchers, and software developers for geomatics.

منبع سفارش / آدرس اشتراک

Wiley

شماره انبار

9781119501442

عنوان

Understanding least squares estimation and geomatics data analysis.

شماره استاندارد بين المللي کتاب و موسيقي

9781119501398

موضوع مستند نشده

Estimation theory.

موضوع مستند نشده

Least squares.

موضوع مستند نشده

Estimation theory.

موضوع مستند نشده

Least squares.

موضوع مستند نشده

MATHEMATICS-- Probability & Statistics-- General.

شماره

ويراست

شماره رده

مستند نام اشخاص تاييد نشده

Ogundare, John Olusegun

تاريخ عمليات

20200822154322.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y