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221201 ||| eng |
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|a 9783031145254
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| 100 |
1 |
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|a Ng, Hon Keung Tony
|e [editor]
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| 245 |
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|a Recent Advances on Sampling Methods and Educational Statistics
|h Elektronische Ressource
|b In Honor of S. Lynne Stokes
|c edited by Hon Keung Tony Ng, Daniel F. Heitjan
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| 250 |
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|a 1st ed. 2022
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| 260 |
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|a Cham
|b Springer International Publishing
|c 2022, 2022
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| 300 |
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|a XXVI, 278 p. 45 illus., 34 illus. in color
|b online resource
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| 505 |
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|a 1. Predictive modelling and judgement post-stratification -- 2. Judgment post-stratified sampling: A comparison with ranked-set sampling -- 3. Efficient sample allocation by local adjustment for unbalanced ranked-set sampling -- 4. On the versatility of capture-recapture modeling: We can’t count what we don’t see -- 5. Advances in the use of capture-recapture methodology in the estimation of U.S. census coverage error -- 6. Measurement issues in synthesizing survey-item responses -- 7. Effects of two sources of nonsampling error in fishing surveys -- 8. Triple system estimation with erroneous enumerations -- 9. Record linkage in statistical sampling: Past, present, and future -- 10. A Bayesian latent variable model for analysis of empathic accuracy in psychology -- 11. Variance Estimation for Random-Groups Linking in Large-Scale Survey Assessments -- 12. Item Response Theory and Fisher Information for Small Tests -- 13. Statistical Evaluation of Process Variables: A Case Study on Writing Tool Usage in Educational Survey Assessment.
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| 653 |
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|a Statistical Theory and Methods
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| 653 |
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|a Psychometrics
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| 653 |
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|a Statistics
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| 653 |
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|a Applied Statistics
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| 653 |
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|a Educational Research
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| 653 |
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|a Education / Research
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| 700 |
1 |
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|a Heitjan, Daniel F.
|e [editor]
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
0 |
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|a Emerging Topics in Statistics and Biostatistics
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| 028 |
5 |
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|a 10.1007/978-3-031-14525-4
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| 856 |
4 |
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|u https://doi.org/10.1007/978-3-031-14525-4?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
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|a 519
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| 520 |
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|a This edited collection commemorates the career of Dr. S. Lynne Stokes by highlighting recent advances in her areas of research interest, emphasizing practical applications and future directions. It serves as a collective effort of leading statistical scientists who work at the cutting edge in statistical sampling. S. Lynne Stokes is Professor of Statistical Science and Director of the Data Science Institute at Southern Methodist University, and Senior Fellow at the National Institute of Statistical Sciences. She has enjoyed a distinguished research career, making fundamental contributions to a variety of fields in statistical sampling. Reflecting on Professor Stokes' main areas of research, this volume is structured into three main parts: I. ranked-set sampling, judgment post-stratified sampling, and capture-recapture methods II. nonsampling errors in statistical sampling III. educational and behavioral statistics This collection will beof interest to researchers, advanced students, and professionals in the public and private sectors who would like to learn more about latest advancements in statistical sampling, particularly those who work in educational and behavioral statistics
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