| Description |
1 online resource (252 pages) |
| Contents |
Front Cover -- Applied Statistical Modeling and Data Analytics: A Practical Guide for the Petroleum Geosciences -- Copyright -- Dedication -- Contents -- Preface -- Acknowledgments -- Chapter 1: Basic Concepts -- 1.1. Background and Scope -- 1.1.1. What Is Statistics? -- 1.1.2. What Is Big Data Analytics? -- 1.1.3. Data Analysis Cycle -- 1.1.4. Some Applications in the Petroleum Geosciences -- 1.2. Data, Statistics, and Probability -- 1.2.1. Outcomes and Events -- 1.2.2. Probability -- 1.2.3. Conditional Probability and Bayes Rule -- 1.3. Random Variables |
|
1.3.1. Discrete Case1.3.2. Continuous Case -- 1.3.3. Indicator Transform -- 1.4. Summary -- Exercises -- References -- Chapter 2: Exploratory Data Analysis -- 2.1. Univariate Data -- 2.1.1. Measures of Center -- 2.1.2. Measures of Spread -- 2.1.3. Measures of Asymmetry -- 2.1.4. Graphing Univariate Data -- 2.2. Bivariate Data -- 2.2.1. Covariance -- 2.2.2. Correlation and Rank Correlation -- 2.2.3. Graphing Bivariate Data -- 2.3. Multivariate Data -- 2.4. Summary -- Exercises -- References -- Chapter 3: Distributions and Models Thereof |
|
3.1. Empirical Distributions3.1.1. Histogram -- 3.1.2. Quantile Plot -- 3.2. Parametric Models -- 3.2.1. Uniform Distribution -- 3.2.2. Triangular Distribution -- 3.2.3. Normal Distribution -- 3.2.4. Lognormal Distribution -- 3.2.5. Poisson Distribution -- 3.2.6. Exponential Distribution -- 3.2.7. Binomial Distribution -- 3.2.8. Weibull Distribution -- 3.2.9. Beta Distribution -- 3.3. Working With Normal and Log-Normal Distributions -- 3.3.1. Normal Distribution -- 3.3.2. Normal Score Transformation -- 3.3.3. Log-Normal Distribution |
|
3.4. Fitting Distributions to Data3.4.1. Probability Plots -- 3.4.2. Parameter Estimation Techniques -- Linear Regression Analysis -- Method of Moments -- Nonlinear Least-Squares Analysis -- 3.5. Other Properties of Distributions and Their Evaluation -- 3.5.1. Central Limit Theorem and Confidence Limits -- 3.5.2. Bootstrap Sampling -- 3.5.3. Comparing Two Distributions -- Q-Q Plot -- Testing for Difference in Mean -- Testing for Difference in Distributions -- Other Methods for Comparing Distributions -- 3.6. Summary -- Exercises -- References |
|
Chapter 4: Regression Modeling and Analysis4.1. Introduction -- 4.2. Simple Linear Regression -- 4.2.1. Formulating and Solving the Linear Regression Problem -- 4.2.2. Evaluating the Linear Regression Model -- 4.2.3. Properties of the Regression Parameters and Confidence Limits -- 4.2.4. Estimating Confidence Intervals for the Mean Response and Forecast -- 4.2.5. An Illustrative Example of Linear Regression Modeling and Analysis -- 4.3. Multiple Regression -- 4.3.1. Formulating and Solving the Multiple Regression Model |
| Notes |
""4.3.2. Evaluating the Multiple Regression Model"" |
|
Print version record |
| Subject |
Petroleum -- Geology -- Statistical methods
|
|
Petroleum -- Geology -- Data processing
|
|
Petroleum -- Geology -- Data processing
|
|
Petroleum -- Geology -- Statistical methods
|
| Form |
Electronic book
|
| Author |
Datta-Gupta, Akhil
|
| ISBN |
9780128032800 |
|
0128032804 |
|
