Sharon L. Lohr - Sampling: Design and Analysis
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Third Edition
Texts in Statistical Science Series
Joseph K. Blitzstein, Harvard University, USA
Julian J. Faraway, University of Bath, UK
Martin Tanner, Northwestern University, USA
Jim Zidek, University of British Columbia, Canada
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Sampling: Design and Analysis, Third Edition
Sharon L. Lohr
For more information about this series, please visit: https://www.crcpress.com/ChapmanHall/CRC-Texts-in-Statistical-Science/book-series/CHTEXSTASCI
The number in parentheses is the page where the notation is introduced.
| ACS | American Community Survey. (4) |
| ASA | American Statistical Association. (91) |
| ANOVA | Analysis of variance. (90) |
| B | Ratioty/tx or, more generally, a regression coefficient. (121) |
| BMI | Body mass index (variable measured in NHANES). (291) |
| 2 | Chi-square. (349) |
| C | Set of units in a convenience (or other nonprobability) sample. (528) |
| cdf | Cumulative distribution function. (281) |
| CI | Confidence interval. (46) |
| Cov | Covariance. (57) |
| CV | Coefficient of variation. (42) |
| deff | Design effect. (286) |
| df | Degrees of freedom. (48) |
| Di | Random variable indicating inclusion in phase II of a two-phase sample. (460) |
| E | Expected value. (36) |
| f | Probability density or mass function. (281) |
| F | Cumulative distribution function. (281) In other contexts, F represents the F distribution. (404) |
| fpc | Finite population correction,=1n/N for a simple random sample. (41) |
| GREG | Generalized regression. (444) |
| GVF | Generalized variance function. (379) |
| HT | Horvitz-Thompson estimator or variance estimator. (236) |
| ICC | Intraclass correlation coefficient. (176) |
| IPUMS | Integrated Public Use Microdata Series. (78) |
| ln | Natural logarithm. (338) |
| logit | Logit(p)=ln[p/(1p)]. (441) |
| Mi | Number of ssus in the population from psu i. (170) |
| mi | Number of ssus in the sample from psu i. (171) |
| M0 | Total number of ssus in the population, in all psus. (170) |
| MAR | Missing at random given covariates, a mechanism for missing data. (322) |
| MCAR | Missing completely at random, a mechanism for missing data. (321) |
| MICE | Multivariate imputation by chained equations. (338) |
| MSE | Mean squared error. (37) |
| Theoretical value of mean in an infinite population, used in model-based inference.(56) | |
| NHANES | National Health and Nutrition Examination Survey. (273) |
| NMAR | Not missing at random, a mechanism for missing data. (323) |
| N | Number of units in the population. (34) |
| n | Number of units in the sample. (32) |
| OLS | Ordinary least squares. (420) |
| P | Probability operator. (34) |
| p | Proportion of units in the population having a characteristic. (38) |
| p^ | Estimated proportion of units in the population having a characteristic. (39) |
| PES | Post-enumeration survey. (487) |
| i | Probability that unit i is in the sample. (34) |
| ik | Probability that units i and k are both in the sample (joint inclusion probability). (235) |
| i | Probability that unit i responds to a survey after being selected for the sample, called the response propensity.(321) |
| i | Probability that unit i is selected on the first draw in a with-replacement sample. (220) |
| pps | Probability proportional to size. (229) |
| psu | Primary sampling unit. (167) |
| Qi | Random variable indicating the number of times unit i appears in a with-replacement sample. (73) |
| R | Set of respondents to the survey. (323) |
| Ri | Random variable indicating whether unit i responds to a survey after being selected for the sample. (321) In , Ri is the random variable indicating participation in a non-probability sample. (525) |
| R2 | Coefficient of determination for a regression analysis. (421) |
| Ra2 | Adjusted R2. (177) |
| S | Set of units in a probability sample. (34) |
| Sh | Set of units sampled from stratum h in a stratified sample. (84) |
| Si | Set of ssus sampled from psu i in a cluster sample. (171) |
| S(1) | Phase I sample. (459) |
| S(2) | Phase II sample. (460) |
| S2 | Population variance of y. (38) |
| s2 | Sample variance of y in a simple random sample. (42) |
| S | Population standard deviation of y,=S2. (38) |
| Sh2 | Population variance in stratum h. (84) |
| sh2 | Sample variance in stratum h, in a stratified random sample. (84) |
| Theoretical value of standard deviation for an infinite population, used in model-basedtheory. (59) | |
| SE | Standard error. (42) |
| SRS | Simple random sample without replacement. (39) |
| SRSWR | Simple random sample with replacement. (39) |
| ssu | Secondary sampling unit. (167) |
| SYG | Sen-Yates-Grundy, specifying an estimator of the variance. (236) |
| t | Population total, witht=ty=i=1Nyi. (35) |
| T | Population total in model-based approach. (59) When used as superscript on a vectoror matrix, as in |
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