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Statistics for Petroleum Engineers and Geoscientists

ISBN-10: 0444505520
ISBN-13: 9780444505521
Edition: 2nd 2000 (Revised)
List price: $185.00 Buy it from $168.19
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Description: For many engineers, statistics is the method of last resort, when no deterministic method can be found to make sense of geological complexities. This volume shows that geological data and geology often have a mutually beneficial effect especially in  More...

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Book details

List price: $185.00
Edition: 2nd
Copyright year: 2000
Publisher: Elsevier Science & Technology Books
Publication date: 12/7/2000
Binding: Hardcover
Pages: 362
Size: 6.50" wide x 9.50" long x 0.75" tall
Weight: 1.782
Language: English

For many engineers, statistics is the method of last resort, when no deterministic method can be found to make sense of geological complexities. This volume shows that geological data and geology often have a mutually beneficial effect especially in the diagnosis of complex geological phenomena.

Dedications
Preface to the first edition
Preface to the second edition
Acknowledgements
Introduction
The Role of Statistics In Engineering And Geology
The Measurements
The Medium
The Physics Of Flow
Estimation And Uncertainty
Basic Concepts
Combinations Of Events
Probability
Probability Laws
Conditional probabilities
Independence
Bayes' Theorem
Univariate Distributions
The Cumulative Distribution Function
Probability Distribution Functions
Functions Of Random Variables
The Monte Carlo Method
Sampling And Statistics
Features Of Single-Variable Distributions
Noncentered Moments
Centered Moments
Combinations And Other Moments
Common PDF's
Truncated Data Sets
Partitioning Data Sets
Estimators And Their Assessment
The Elements Of Estimation
Desirable Properties Of Estimators
Sensitivity Assessment
Confidence Intervals
Properties of Selected Estimators
Estimators For Nonarithmetic Means
Flow Associations For Mean Values
Physical Interpretability In Estimation
Weighted Estimators
Measures Of Heterogeneity
Definition Of Heterogeneity
Static Measures
Dynamic Measures
Hypothesis Tests
Parametric Hypothesis Tests
Nonparametric Tests
Bivariate Analysis: Correlation
Joint Distributions
The Covariance Of X And Y
The Joint Normal Distribution
The Reduced Major Axis (Rma) And Regression Lines
Bivariate Analysis: Linear Regression
The Elements Of Regression
The Linear Model
The Least-Squares Method
Properties Of Slope And Intercept Estimates
Separately Testing The Precision Of The Slope And Intercept
Jointly Testing The Precision Of The Slope And Intercept
Mean Response And New Observation Confidence Intervals
Residuals Analysis
The Coefficient Of Determination
Significance Tests Using The Analysis Of Variance
The No-Intercept Regression Model
Other Considerations
Bivariate Analysis: Further Linear Regression
Alternatives To The Least-Squares Lines
Variable Transformations
Weighted Least Squares
Reducing The Number Of Variables
The X-Axis Intercept And Error Bounds
Improving Correlations For Better Prediction
Multivariate Regression
Analysis Of Spatial Relationships
Data Types
Nominal Variables
Measures And Properties Of Autocorrelation
Estimating Autocorrelation Measures
Semivariogram Behavior for Geologic Structures
Semivariograms In Real Media
Bias And Precision
Models And Features
Autocorrelation And The Information Content Of Data
Modelling Geological Media
Statistical Point Of View
Kriging
Other Kriging Types
Conditional Simulation
Simulated Annealing
Modelling Examples
Other Conditioning
The Use Of Statistics In Reservoir Modeling
Using Statistics For Reservoir Diagnosis
Using Statistics Without Geology
Hybrid Modelling
Model Building Summary
Nomenclature
References
Index

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