國立虎尾科技大學 |

Recent Advances on Sampling Methods and Educational Statistics = In Honor of S. Lynne Stokes /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Recent Advances on Sampling Methods and Educational Statistics/ edited by Hon Keung Tony Ng, Daniel F. Heitjan.
其他題名:	In Honor of S. Lynne Stokes /
其他作者:	Heitjan, Daniel F.
面頁冊數:	XXVI, 278 p. 45 illus., 34 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Educational Research. -
電子資源:	https://doi.org/10.1007/978-3-031-14525-4
ISBN:	9783031145254

Recent Advances on Sampling Methods and Educational Statistics = In Honor of S. Lynne Stokes /
Recent Advances on Sampling Methods and Educational StatisticsIn Honor of S. Lynne Stokes /[electronic resource] :edited by Hon Keung Tony Ng, Daniel F. Heitjan. - 1st ed. 2022. - XXVI, 278 p. 45 illus., 34 illus. in color.online resource. - Emerging Topics in Statistics and Biostatistics ,2524-7743. - Emerging Topics in Statistics and Biostatistics ,.

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. .

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 be of 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.

ISBN: 9783031145254

Standard No.: 10.1007/978-3-031-14525-4doiSubjects--Topical Terms:

1365840
Educational Research.

LC Class. No.: QA276-280

Dewey Class. No.: 519

Recent Advances on Sampling Methods and Educational Statistics = In Honor of S. Lynne Stokes /
LDR:03759nam a22004095i 4500 001 1085869
003 DE-He213
005 20221125125551.0
007 cr nn 008mamaa
008 221228s2022 sz | s |||| 0|eng d
020 $a 9783031145254 $9 978-3-031-14525-4
024 7 $a 10.1007/978-3-031-14525-4 $2 doi
035 $a 978-3-031-14525-4
050 4 $a QA276-280
072 7 $a PBT $2 bicssc
072 7 $a MAT029000 $2 bisacsh
072 7 $a PBT $2 thema
082 0 4 $a 519 $2 23
245 1 0 $a Recent Advances on Sampling Methods and Educational Statistics $h [electronic resource] : $b In Honor of S. Lynne Stokes / $c edited by Hon Keung Tony Ng, Daniel F. Heitjan.
250 $a 1st ed. 2022.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a XXVI, 278 p. 45 illus., 34 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Emerging Topics in Statistics and Biostatistics , $x 2524-7743
505 0 $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. .
520 $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 be of 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.
650 2 4 $a Educational Research. $3 1365840
650 2 4 $a Statistical Theory and Methods. $3 671396
650 1 4 $a Applied Statistics. $3 1205141
650 0 $a Education—Research. $3 1279169
650 0 $a Psychometrics. $3 558112
650 0 $a Statistics . $3 1253516
700 1 $a Heitjan, Daniel F. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1392444
700 1 $a Ng, Hon Keung Tony. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1070514
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783031145247
776 0 8 $i Printed edition: $z 9783031145261
776 0 8 $i Printed edition: $z 9783031145278
830 0 $a Emerging Topics in Statistics and Biostatistics , $x 2524-7735 $3 1318814
856 4 0 $u https://doi.org/10.1007/978-3-031-14525-4
912 $a ZDB-2-SMA
912 $a ZDB-2-SXMS
950 $a Mathematics and Statistics (SpringerNature-11649)
950 $a Mathematics and Statistics (R0) (SpringerNature-43713)