Description |
1 online resource |
Contents |
Machine generated contents note: 1. Introduction -- 2. ARIMA Algebra -- 3. Noise Modeling -- 4. Forecasting -- 5. Intervention Modeling -- 6. Statistical Conclusion Validity -- 7. Internal Validity -- 8. Construct Validity -- 9. External Validity |
Summary |
'Design and Analysis of Time Series Experiments' develops methods and models for analysis and interpretation of time series experiments. Drawing on examples from criminology, economics, education, pharmacology, public policy, program evaluation, public health, and psychology, it addresses researchers and graduate students in a wide range of the behavioral, biomedical and social sciences |
Bibliography |
Includes bibliographical references and index |
Subject |
Time-series analysis.
|
|
Experimental design.
|
|
MATHEMATICS -- Applied.
|
|
MATHEMATICS -- Probability & Statistics -- General.
|
|
Experimental design
|
|
Time-series analysis
|
Form |
Electronic book
|
Author |
McDowall, David, 1949-
|
|
Bartos, Bradley J.
|
ISBN |
9780190661595 |
|
0190661593 |
|
9780190661571 |
|
0190661577 |
|