Log in

Relevant bibliographies by topics / Sampling (statistics) / Journal articles

Journal articles on the topic 'Sampling (statistics)'

To see the other types of publications on this topic, follow the link: Sampling (statistics).

Author: Grafiati

Published: 4 June 2021

Last updated: 29 July 2024

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Sampling (statistics).'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Low, C. K., and U. Balasooriya. "Order statistics based sampling design for reliability sampling." Journal of Statistical Computation and Simulation 77, no. 8 (August 2007): 709–15. http://dx.doi.org/10.1080/10629360600575888.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Kohler, Ulrich, Frauke Kreuter, and Elizabeth A. Stuart. "Nonprobability Sampling and Causal Analysis." Annual Review of Statistics and Its Application 6, no. 1 (March 7, 2019): 149–72. http://dx.doi.org/10.1146/annurev-statistics-030718-104951.

Full text

Abstract:

The long-standing approach of using probability samples in social science research has come under pressure through eroding survey response rates, advanced methodology, and easier access to large amounts of data. These factors, along with an increased awareness of the pitfalls of the nonequivalent comparison group design for the estimation of causal effects, have moved the attention of applied researchers away from issues of sampling and toward issues of identification. This article discusses the usability of samples with unknown selection probabilities for various research questions. In doing so, we review assumptions necessary for descriptive and causal inference and discuss research strategies developed to overcome sampling limitations.

APA, Harvard, Vancouver, ISO, and other styles

3

Kristensen, L., P. Kirkegaard, and J. Mann. "Sampling Statistics of Atmospheric Observations." Wind Energy 5, no. 4 (2002): 301–13. http://dx.doi.org/10.1002/we.75.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Preston, Ian. "Sampling Distributions of Relative Poverty Statistics." Applied Statistics 44, no. 1 (1995): 91. http://dx.doi.org/10.2307/2986197.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Wolter, Kirk M., P. R. Krishnaiah, and C. R. Rao. "Handbook of Statistics, Volume 6: Sampling." Journal of the American Statistical Association 86, no. 413 (March 1991): 250. http://dx.doi.org/10.2307/2289749.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Cormack, R. M., P. R. Krishnaiah, and C. R. Rao. "Handbook of Statistics, Vol. 6: Sampling." Biometrics 46, no. 3 (September 1990): 879. http://dx.doi.org/10.2307/2532113.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Kim, Sung-Min, and Hyun Mee Kim. "Sampling error of observation impact statistics." Tellus A: Dynamic Meteorology and Oceanography 66, no. 1 (November 14, 2014): 25435. http://dx.doi.org/10.3402/tellusa.v66.25435.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Pedler, P. J. "Understanding sampling distributions in inferential statistics." International Journal of Mathematical Education in Science and Technology 22, no. 1 (January 1991): 69–87. http://dx.doi.org/10.1080/0020739910220112.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Alf, Cherié, and Sharon Lohr. "Sampling Assumptions in Introductory Statistics Classes." American Statistician 61, no. 1 (February 2007): 71–77. http://dx.doi.org/10.1198/000313007x171098.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Ziegel, Eric R. "Handbook of Statistics, Volume 6: Sampling." Technometrics 32, no. 4 (November 1990): 460. http://dx.doi.org/10.1080/00401706.1990.10484749.

Full text

APA, Harvard, Vancouver, ISO, and other styles

11

Gile, Krista J., Isabelle S. Beaudry, Mark S. Handcock, and Miles Q. Ott. "Methods for Inference from Respondent-Driven Sampling Data." Annual Review of Statistics and Its Application 5, no. 1 (March 7, 2018): 65–93. http://dx.doi.org/10.1146/annurev-statistics-031017-100704.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Sen, A. R., and Steven K. Thompson. "Sampling." Journal of the American Statistical Association 88, no. 424 (December 1993): 1471. http://dx.doi.org/10.2307/2291302.

Full text

APA, Harvard, Vancouver, ISO, and other styles

13

Al-Saleh*, Mohammad Fraiwen, and Gang Zheng. "Controlled sampling using ranked set sampling." Journal of Nonparametric Statistics 15, no. 4-5 (August 2003): 505–16. http://dx.doi.org/10.1080/10485250310001604640.

Full text

APA, Harvard, Vancouver, ISO, and other styles

14

Shawky, Ahmed Ibrahim, Muhammad Aslam, and Khushnoor Khan. "Multiple Dependent State Sampling-Based Chart Using Belief Statistic under Neutrosophic Statistics." Journal of Mathematics 2020 (August 27, 2020): 1–14. http://dx.doi.org/10.1155/2020/7680286.

Full text

Abstract:

In this paper, a control chart scheme has been introduced for the mean monitoring using gamma distribution for belief statistics using multiple dependent (deferred) state sampling under the neutrosophic statistics. The coefficients of the control chart and the neutrosophic average run lengths have been estimated for specific false alarm probabilities under various process conditions. The offered chart has been compared with the existing classical chart through simulation and the real data. From the comparison, it is concluded that the performance of the proposed chart is better than that of the existing chart in terms of average run length under uncertain environment. The proposed chart has the ability to detect a shift quickly than the existing chart. It has been observed that the proposed chart is efficient in quick monitoring of the out-of-control process and a cherished addition in the toolkit of the quality control personnel.

APA, Harvard, Vancouver, ISO, and other styles

15

KK, Harold F. Dodge, and Harry G. Romig. "Sampling Inspection Tables: Single and Double Sampling." Journal of the American Statistical Association 93, no. 443 (September 1998): 1252. http://dx.doi.org/10.2307/2669907.

Full text

APA, Harvard, Vancouver, ISO, and other styles

16

Simon, Gary, T. M. F. Smith, and Arthur J. Wilburn. "Statistical Sampling for Accountants." Journal of the American Statistical Association 80, no. 392 (December 1985): 1078. http://dx.doi.org/10.2307/2288599.

Full text

APA, Harvard, Vancouver, ISO, and other styles

17

Khan, Zaheen, Javid Shabbir, and Sat Gupta. "A New Sampling Design for Systematic Sampling." Communications in Statistics - Theory and Methods 42, no. 18 (September 17, 2013): 3359–70. http://dx.doi.org/10.1080/03610926.2011.628771.

Full text

APA, Harvard, Vancouver, ISO, and other styles

18

Preston, Ian. "Corrigendum: Sampling Distributions of Relative Poverty Statistics." Applied Statistics 45, no. 3 (1996): 399. http://dx.doi.org/10.2307/2986098.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

Bayoumi., B. "USING SAMPLING TECHNIQUE LIVESTOCK STATISTICS IN GOVERNORATES." Journal of Agricultural Economics and Social Sciences 30, no. 9 (September 1, 2005): 5271–89. http://dx.doi.org/10.21608/jaess.2005.208476.

Full text

APA, Harvard, Vancouver, ISO, and other styles

20

Abbot, Dorian S., Robert J. Webber, Sam Hadden, Darryl Seligman, and Jonathan Weare. "Rare Event Sampling Improves Mercury Instability Statistics." Astrophysical Journal 923, no. 2 (December 1, 2021): 236. http://dx.doi.org/10.3847/1538-4357/ac2fa8.

Full text

Abstract:

Abstract Due to the chaotic nature of planetary dynamics, there is a non-zero probability that Mercury’s orbit will become unstable in the future. Previous efforts have estimated the probability of this happening between 3 and 5 billion years in the future using a large number of direct numerical simulations with an N-body code, but were not able to obtain accurate estimates before 3 billion years in the future because Mercury instability events are too rare. In this paper we use a new rare-event sampling technique, Quantile Diffusion Monte Carlo (QDMC), to estimate that the probability of a Mercury instability event in the next 2 billion years is approximately 10−4 in the REBOUND N-body code. We show that QDMC provides unbiased probability estimates at a computational cost of up to 100 times less than direct numerical simulation. QDMC is easy to implement and could be applied to many problems in planetary dynamics in which it is necessary to estimate the probability of a rare event.

APA, Harvard, Vancouver, ISO, and other styles

21

Macmillan, Neil A., Caren M. Rotello, and Jeff O. Miller. "The sampling distributions of Gaussian ROC statistics." Perception & Psychophysics 66, no. 3 (April 2004): 406–21. http://dx.doi.org/10.3758/bf03194889.

Full text

APA, Harvard, Vancouver, ISO, and other styles

22

Fowlie, Andrew, Will Handley, and Liangliang Su. "Nested sampling cross-checks using order statistics." Monthly Notices of the Royal Astronomical Society 497, no. 4 (August 11, 2020): 5256–63. http://dx.doi.org/10.1093/mnras/staa2345.

Full text

Abstract:

ABSTRACT Nested sampling (NS) is an invaluable tool in data analysis in modern astrophysics, cosmology, gravitational wave astronomy, and particle physics. We identify a previously unused property of NS related to order statistics: the insertion indexes of new live points into the existing live points should be uniformly distributed. This observation enabled us to create a novel cross-check of single NS runs. The tests can detect when an NS run failed to sample new live points from the constrained prior and plateaus in the likelihood function, which break an assumption of NS and thus leads to unreliable results. We applied our cross-check to NS runs on toy functions with known analytic results in 2–50 dimensions, showing that our approach can detect problematic runs on a variety of likelihoods, settings, and dimensions. As an example of a realistic application, we cross-checked NS runs performed in the context of cosmological model selection. Since the cross-check is simple, we recommend that it become a mandatory test for every applicable NS run.

APA, Harvard, Vancouver, ISO, and other styles

23

Overway, Ken. "Population versus Sampling Statistics: A Spreadsheet Exercise." Journal of Chemical Education 85, no. 5 (May 2008): 749. http://dx.doi.org/10.1021/ed085p749.

Full text

APA, Harvard, Vancouver, ISO, and other styles

24

Cooper, Douglas. "Sequential Sampling Statistics for Evaluating Low Concentrations." Journal of the IEST 31, no. 5 (September 1, 1988): 33–36. http://dx.doi.org/10.17764/jiet.1.31.5.l401183240723766.

Full text

Abstract:

The sampling of low concentrations of particles can be especially time consuming and thus expensive when one attempts to get enough particles for an acceptable statistical confidence interval. The "sequential analysis" technique originated in the 1940s by Wald was shown to minimize the number of samples needed, at the cost of increased data analysis. The technique can be extended from sampling items to sampling intervals, e.g., time, volume, area, etc. Sequential sampling analysis tests hypotheses about the probabilities of events, thus about concentrations. A brief description of the technique and an example are provided here. Upper and lower limits on counts versus sampling extent can be set to give a desired 1-α probability of accepting a specified low concentration and β probability of accepting a specified high concentration. At very low or very high probabilities of finding a particle compared with the levels hypothesized, sequential sampling can produce a decision with relatively very few samples. An approximation to sequential sampling, the taking of multiple samples with evaluation, after each sample, can produce a decision with almost as few samples. Such approaches deserve consideration for the next revision of Federal Standard 209 concerning cleanroom certification.

APA, Harvard, Vancouver, ISO, and other styles

25

Lumley, Thomas. "Pseudo-R 2 statistics under complex sampling." Australian & New Zealand Journal of Statistics 59, no. 2 (June 2017): 187–94. http://dx.doi.org/10.1111/anzs.12187.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Healy, M. J. "Statistics from the inside. 4. Sampling distributions." Archives of Disease in Childhood 67, no. 2 (February 1, 1992): 249–50. http://dx.doi.org/10.1136/adc.67.2.249.

Full text

APA, Harvard, Vancouver, ISO, and other styles

27

THOMPSON, STEVEN K. "ADAPTIVE CLUSTER SAMPLING BASED ON ORDER STATISTICS." Environmetrics 7, no. 2 (March 1996): 123–33. http://dx.doi.org/10.1002/(sici)1099-095x(199603)7:2<123::aid-env162>3.0.co;2-s.

Full text

APA, Harvard, Vancouver, ISO, and other styles

28

Katzoff, Myron, Steve K. Thompson, and George A. F. Seber. "Adaptive Sampling." Journal of the American Statistical Association 92, no. 438 (June 1997): 794. http://dx.doi.org/10.2307/2965735.

Full text

APA, Harvard, Vancouver, ISO, and other styles

29

Deshmukh, S. R. "Markov Sampling." Australian & New Zealand Journal of Statistics 42, no. 3 (September 2000): 337–45. http://dx.doi.org/10.1111/1467-842x.00130.

Full text

APA, Harvard, Vancouver, ISO, and other styles

30

Münnich, Ralf. "Sampling Algorithms." Journal of the American Statistical Association 103, no. 481 (March 1, 2008): 428–29. http://dx.doi.org/10.1198/jasa.2008.s217.

Full text

APA, Harvard, Vancouver, ISO, and other styles

31

Iachan, Ronaldo. "Plane sampling." Statistics & Probability Letters 3, no. 3 (June 1985): 151–59. http://dx.doi.org/10.1016/0167-7152(85)90054-9.

Full text

APA, Harvard, Vancouver, ISO, and other styles

32

Gelfand, Alan E. "Gibbs Sampling." Journal of the American Statistical Association 95, no. 452 (December 2000): 1300–1304. http://dx.doi.org/10.1080/01621459.2000.10474335.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

BONDESSON, LENNART, IMBI TRAAT, and ANDERS LUNDQVIST. "Pareto Sampling versus Sampford and Conditional Poisson Sampling." Scandinavian Journal of Statistics 33, no. 4 (December 2006): 699–720. http://dx.doi.org/10.1111/j.1467-9469.2006.00497.x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

34

Chen, Yuguo. "Another look at rejection sampling through importance sampling." Statistics & Probability Letters 72, no. 4 (May 2005): 277–83. http://dx.doi.org/10.1016/j.spl.2005.01.002.

Full text

APA, Harvard, Vancouver, ISO, and other styles

35

Deshmukh, Shailaja R. "BERNOULLI SAMPLING." Australian Journal of Statistics 33, no. 2 (June 1991): 167–76. http://dx.doi.org/10.1111/j.1467-842x.1991.tb00424.x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

36

Jäntschi, Lorentz. "Detecting Extreme Values with Order Statistics in Samples from Continuous Distributions." Mathematics 8, no. 2 (February 8, 2020): 216. http://dx.doi.org/10.3390/math8020216.

Full text

Abstract:

In the subject of statistics for engineering, physics, computer science, chemistry, and earth sciences, one of the sampling challenges is the accuracy, or, in other words, how representative the sample is of the population from which it was drawn. A series of statistics were developed to measure the departure between the population (theoretical) and the sample (observed) distributions. Another connected issue is the presence of extreme values—possible observations that may have been wrongly collected—which do not belong to the population selected for study. By subjecting those two issues to study, we hereby propose a new statistic for assessing the quality of sampling intended to be used for any continuous distribution. Depending on the sample size, the proposed statistic is operational for known distributions (with a known probability density function) and provides the risk of being in error while assuming that a certain sample has been drawn from a population. A strategy for sample analysis, by analyzing the information about quality of the sampling provided by the order statistics in use, is proposed. A case study was conducted assessing the quality of sampling for ten cases, the latter being used to provide a pattern analysis of the statistics.

APA, Harvard, Vancouver, ISO, and other styles

37

Haq, Abdul. "Two-stage cluster sampling with hybrid ranked set sampling in the secondary sampling frame." Communications in Statistics - Theory and Methods 46, no. 17 (May 8, 2017): 8450–67. http://dx.doi.org/10.1080/03610926.2016.1183783.

Full text

APA, Harvard, Vancouver, ISO, and other styles

38

Skare, Oivind, Erik Bolviken, and Lars Holden. "Improved Sampling-Importance Resampling and Reduced Bias Importance Sampling." Scandinavian Journal of Statistics 30, no. 4 (December 2003): 719–37. http://dx.doi.org/10.1111/1467-9469.00360.

Full text

APA, Harvard, Vancouver, ISO, and other styles

39

Aslam, Muhammad, Nasrullah Khan, and Ali Hussein AL-Marshadi. "Design of Variable Sampling Plan for Pareto Distribution Using Neutrosophic Statistical Interval Method." Symmetry 11, no. 1 (January 11, 2019): 80. http://dx.doi.org/10.3390/sym11010080.

Full text

Abstract:

The sampling plans have been widely used for the inspection of a lot of the product. In practice, the measurement data may be imprecise, uncertain, unclear or fuzzy. When there is uncertainty in the observations, the sampling plans designed using classical statistics cannot be applied for the inspection of a lot of the product. The neutrosophic statistic, which is the generalization of the classical statistics, can be used when data is not precise, uncertain, unclear or fuzzy. In this paper, we will design the variable sampling plan under the Pareto distribution using the neutrosophic statistics. We used the symmetry property of the normal distribution. We assume uncertainty in measurement data and sample size required for the inspection of a lot of the product. We will determine the neutrosophic plan parameters using the neutrosophic optimization problem. Some tables are given for practical use and are discussed with the help of an example.

APA, Harvard, Vancouver, ISO, and other styles

40

Byrne, Gillian. "A Statistical Primer: Understanding Descriptive and Inferential Statistics." Evidence Based Library and Information Practice 2, no. 1 (March 14, 2007): 32. http://dx.doi.org/10.18438/b8fw2h.

Full text

Abstract:

As libraries and librarians move more towards evidence-based decision making, the data being generated in libraries is growing. Understanding the basics of statistical analysis is crucial for evidence-based practice (EBP), in order to correctly design and analyze research as well as to evaluate the research of others. This article covers the fundamentals of descriptive and inferential statistics, from hypothesis construction to sampling to common statistical techniques including chi-square, correlation, and analysis of variance (ANOVA).

APA, Harvard, Vancouver, ISO, and other styles

41

Bull, Brian. "Exemplar Sampling." American Statistician 59, no. 2 (May 2005): 166–72. http://dx.doi.org/10.1198/000313005x42886.

Full text

APA, Harvard, Vancouver, ISO, and other styles

42

Kim, Jae-Kwang. "Graph Sampling." American Statistician 77, no. 2 (April 3, 2023): 234. http://dx.doi.org/10.1080/00031305.2023.2198354.

Full text

APA, Harvard, Vancouver, ISO, and other styles

43

Sommer, Andreas, and Ansgar Steland. "Multistage acceptance sampling under nonparametric dependent sampling designs." Journal of Statistical Planning and Inference 199 (March 2019): 89–113. http://dx.doi.org/10.1016/j.jspi.2018.05.006.

Full text

APA, Harvard, Vancouver, ISO, and other styles

44

Shanmugam, Ramalingam. "Theory of sampling and sampling practice." Journal of Statistical Computation and Simulation 90, no. 9 (June 13, 2019): 1733–34. http://dx.doi.org/10.1080/00949655.2019.1628903.

Full text

APA, Harvard, Vancouver, ISO, and other styles

45

Srivenkataramana, T., and D. S. Tracy. "Transformations after sampling." Statistics 17, no. 4 (January 1986): 597–608. http://dx.doi.org/10.1080/02331888808801979.

Full text

APA, Harvard, Vancouver, ISO, and other styles

46

Grafström, Anton. "Repeated Poisson sampling." Statistics & Probability Letters 79, no. 6 (March 2009): 760–64. http://dx.doi.org/10.1016/j.spl.2008.10.027.

Full text

APA, Harvard, Vancouver, ISO, and other styles

47

Czaja, Ronald, Richard L. Scheaffer, William Mendenhall, and Lyman Ott. "Elementary Survey Sampling." Journal of the American Statistical Association 82, no. 400 (December 1987): 1185. http://dx.doi.org/10.2307/2289408.

Full text

APA, Harvard, Vancouver, ISO, and other styles

48

Lee, Ming Ha, and Michael B. C. Khoo. "Combined double sampling and variable sampling interval np chart." Communications in Statistics - Theory and Methods 46, no. 23 (August 24, 2017): 11892–917. http://dx.doi.org/10.1080/03610926.2017.1285924.

Full text

APA, Harvard, Vancouver, ISO, and other styles

49

Haziza, David, Guillaume Chauvet, and Jean-Claude Deville. "SAMPLING AND ESTIMATION IN THE PRESENCE OF CUT-OFF SAMPLING." Australian & New Zealand Journal of Statistics 52, no. 3 (August 30, 2010): 303–19. http://dx.doi.org/10.1111/j.1467-842x.2010.00584.x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

50

Deligonul, Seyda. "Quick specification of acceptance sampling plans for dependent attribute sampling." Journal of Applied Statistics 20, no. 1 (January 1993): 3–11. http://dx.doi.org/10.1080/02664769300000001.

Full text

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!