|
|
|
|
| LEADER |
00000cam a2200000Mu 4500 |
| 001 |
EBOOKCENTRAL_on1347028598 |
| 003 |
OCoLC |
| 005 |
20240329122006.0 |
| 006 |
m o d |
| 007 |
cr cnu|||||||| |
| 008 |
230209s2012 xx o ||| 0 eng d |
| 040 |
|
|
|a EBLCP
|b eng
|c EBLCP
|d OCLCQ
|d EBLCP
|d OCLCQ
|d OCLCO
|d OCLCQ
|d OCLCL
|d OCLCQ
|
| 020 |
|
|
|a 9781118456248
|
| 020 |
|
|
|a 1118456246
|
| 035 |
|
|
|a (OCoLC)1347028598
|
| 082 |
0 |
4 |
|a 519.5/36
|q OCoLC
|2 23/eng/20230216
|
| 049 |
|
|
|a UAMI
|
| 100 |
1 |
|
|a Hadi, Ali S.
|
| 245 |
1 |
0 |
|a Regression Analysis by Example
|h [electronic resource].
|
| 260 |
|
|
|a Newark :
|b John Wiley & Sons, Incorporated,
|c 2012.
|
| 300 |
|
|
|a 1 online resource (427 p.).
|
| 490 |
1 |
|
|a New York Academy of Sciences Ser.
|
| 500 |
|
|
|a Description based upon print version of record.
|
| 505 |
0 |
|
|a Intro -- Half Title page -- Title page -- Copyright page -- Dedication -- Preface -- Chapter 1: Introduction -- 1.1 What Is Regression Analysis? -- 1.2 Publicly Available Data Sets -- 1.3 Selected Applications of Regression Analysis -- 1.4 Steps in Regression Analysis -- 1.5 Scope And Organization of the Book -- Exercises -- Chapter 2: Simple Linear Regression -- 2.1 Introduction -- 2.2 Covariance and Correlation Coefficient -- 2.3 Example: Computer Repair Data -- 2.4 The Simple Linear Regression Model -- 2.5 Parameter Estimation -- 2.6 Tests of Hypotheses -- 2.7 Confidence Intervals
|
| 505 |
8 |
|
|a 2.8 Predictions -- 2.9 Measuring the Quality of Fit -- 2.10 Regression Line Through the Origin -- 2.11 Trivial Regression Models -- 2.12 Bibliographic Notes -- Exercises -- Chapter 3: Multiple Linear Regression -- 3.1 Introduction -- 3.2 Description of the Data and Model -- 3.3 Example: Supervisor Performance Data -- 3.4 Parameter Estimation -- 3.5 Interpretations of Regression Coefficients -- 3.6 Centering and Scaling -- 3.7 Properties of the Least Squares Estimators -- 3.8 Multiple Correlation Coefficient -- 3.9 Inference for Individual Regression Coefficients
|
| 505 |
8 |
|
|a 3.10 Tests of Hypotheses in a Linear Model -- 3.11 Predictions -- 3.12 Summary -- Exercises -- Appendix: Multiple Regression in Matrix Notation -- Chapter 4: Regression Diagnostics: Detection of Model Violations -- 4.1 Introduction -- 4.2 The Standard Regression Assumptions -- 4.3 Various Types of Residuals -- 4.4 Graphical Methods -- 4.5 Graphs Before Fitting a Model -- 4.6 Graphs After Fitting a Model -- 4.7 Checking Linearity and Normality Assumptions -- 4.8 Leverage, Influence, and Outliers -- 4.9 Measures of Influence -- 4.10 The Potential-Residual Plot -- 4.11 What to Do with the Outliers?
|
| 505 |
8 |
|
|a 4.12 Role of Variables in a Regression Equation -- 4.13 Effects of an Additional Predictor -- 4.14 Robust Regression -- Exercises -- Chapter 5: Qualitative Variables as Predictors -- 5.1 Introduction -- 5.2 Salary Survey Data -- 5.3 Interaction Variables -- 5.4 Systems of Regression Equations: Comparing Two Groups -- 5.5 Other Applications of Indicator Variables -- 5.6 Seasonality -- 5.7 Stability of Regression Parameters Over Time -- Exercises -- Chapter 6: Transformation of Variables -- 6.1 Introduction -- 6.2 Transformations to Achieve Linearity -- 6.3 Bacteria Deaths Due to X-Ray Radiation
|
| 505 |
8 |
|
|a 6.4 Transformations to Stabilize Variance -- 6.5 Detection of Heteroscedastic Errors -- 6.6 Removal of Heteroscedasticity -- 6.7 Weighted Least Squares -- 6.8 Logarithmic Transformation of Data -- 6.9 Power Transformation -- 6.10 Summary -- Exercises -- Chapter 7: Weighted Least Squares -- 7.1 Introduction -- 7.2 Heteroscedastic Models -- 7.3 Two-Stage Estimation -- 7.4 Education Expenditure Data -- 7.5 Fitting a Dose-Response Relationship Curve -- Exercises -- Chapter 8: the Problem of Correlated Errors -- 8.1 Introduction: Autocorrelation -- 8.2 Consumer Expenditure and Money Stock
|
| 500 |
|
|
|a 8.3 Durbin-Watson Statistic
|
| 590 |
|
|
|a ProQuest Ebook Central
|b Ebook Central Academic Complete
|
| 655 |
|
0 |
|a Electronic books.
|
| 758 |
|
|
|i has work:
|a Regression analysis by example (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCFTFH9T8jF9PqMPfMxghBK
|4 https://id.oclc.org/worldcat/ontology/hasWork
|
| 776 |
0 |
8 |
|i Print version:
|a Hadi, Ali S.
|t Regression Analysis by Example
|d Newark : John Wiley & Sons, Incorporated,c2012
|z 9780470905845
|
| 830 |
|
0 |
|a New York Academy of Sciences Ser.
|
| 856 |
4 |
0 |
|u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=7103682
|z Texto completo
|
| 938 |
|
|
|a ProQuest Ebook Central
|b EBLB
|n EBL7103682
|
| 994 |
|
|
|a 92
|b IZTAP
|
