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Sunday, August 2, 2020 | History

1 edition of Stratification in double sampling found in the catalog.

Stratification in double sampling

W. E. Frayer

Stratification in double sampling

"the easy way out may sometimes be the best way"

by W. E. Frayer

  • 69 Want to read
  • 2 Currently reading

Published by ISDI, Bureau of Land Management, Denver Service Center in Denver, Colo .
Written in English

    Subjects:
  • Forest management,
  • Forest surveys

  • Edition Notes

    Statement W.E. Frayer
    Series Resource inventory notes -- BLM 10, Resource inventory notes -- BLM 10.
    Contributions United States. Bureau of Land Management. Denver Service Center
    The Physical Object
    Pagination [7] leaves :
    ID Numbers
    Open LibraryOL25507041M

    Double Sampling for Stratification In some sampling situations, units can be assigned to strata only after the sample is selected. The method of post-stratification is useful only if the relative proportion of each stratum in the population is known for each stratum. h. If these proportions are not known, double. Sections , , and are for stratified random sampling for proportions, and , , and are for continuous data. Some material leading to this may help, so you should try to obtain.

    Stratified Sampling with Control Sorting The next sample design for the customer satisfaction survey uses stratification by State and also control sorting by Type and Usage within State. After stratification and control sorting, customers are selected by systematic random sampling within strata. Details. The population for the second phase is the first-phase sample. If the second phase sample uses stratified (multistage cluster) sampling without replacement and all the stratum and sampling unit identifier variables are available for the whole first-phase sample it is possible to estimate the sampling probabilities/weights and the finite population correction.

    MTH A: Introduction to Sampling Theory. Syllabus: Principles of sample surveys; Simple, stratified and unequal probability sampling with and without replacement; ratio, product and regression method of estimation: Systematic sampling Books: You can choose any one of the following book for your reference. Books at serial numbers 1 and 2 are easily available, so I will base my lectures on them. Organized into six sections, the book covers basic sampling, from simple random to unequal probability sampling; the use of auxiliary data with ratio and regression estimation; sufficient data, model, and design in practical sampling; useful designs such as stratified, cluster and systematic, multistage, double and network sampling.


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Stratification in double sampling by W. E. Frayer Download PDF EPUB FB2

The method of post-stratification is useful only if the relative proportion of each stratum in the population \(W_h=\dfrac{N_h}{N}\) is known for each stratum these proportions are not known, double sampling may be used, with an initial (large) sample used to classify the units into strata and then a stratified sample selected from the initial sample.

Organized into six sections, Stratification in double sampling book book covers basic sampling, from simple random to unequal probability sampling; the use of auxiliary data with ratio and regression estimation; sufficient data, model, and design in practical sampling; useful designs such as stratified, cluster and systematic, multistage, double and network sampling Reviews: 2.

14 Double or Two-Phase Sampling Ratio Estimation with Double Sampling, Allocation in Double Sampling for Ratio Estimation, Double Sampling for Stratification, Derivations for Double Sampling, Approximate Mean and Variance: Ratio Estimation, Optimum Allocation for Ratio Estimation, Author: Steven K.

Thompson. Double sampling is also known as two‐phase sampling. Double sampling for stratification, the units in the initial sample are classified into strata. The second sample is then selected by stratified sampling from the initial sample.

An important special use of this method is adjustment for nonresponse in surveys. In addition to double sampling with ratio or regression estimator, there is a third variation Stratification in double sampling book double sampling, some times used in forest inventory: double sampling for stratification.

Double sampling for stratification (DSS) General remarks. In the article on stratified random sampling it was mentioned, that there are occasions in which it. Double sampling for stratification is a sampling design that is widely used for forest and other resource inventories in forest ecosystems.

Double sampling is a powerful and cost-effective technique. The theory of double sampling (or two-phase sampling) was first formulated by Neyman () in connection with collecting information on the.

Comparison of estimation techniques for a forest inventory in which double sampling for stratification is used.

For. Sci. 47 (4): Crossref, Google Scholar. Appendix A (a) In stratified random sampling, is an unbiased estimator of mean growth using initial strata weights, because.

Reviews sampling methods used in surveys: simple random sampling, systematic sampling, stratification, cluster and multi-stage sampling, sampling with probability proportional to size, two-phase sampling, replicated sampling, panel designs, and non-probability sampling.

Kalton discusses issues of practical implementation, including frame problems and non-response, and gives examples 5/5(2). In statistics, stratified sampling is a method of sampling from a population which can be partitioned into subpopulations.

Stratified sampling example. In statistical surveys, when subpopulations within an overall population vary, it could be advantageous to sample each subpopulation (stratum) independently.

Organized into six sections, the book covers basic sampling, from simple random to unequal probability sampling; the use of auxiliary data with ratio and regression estimation; sufficient data, model, and design in practical sampling; useful designs such as stratified, cluster and systematic, multistage, double and network sampling Price: $ The design is called stratified random sampling if the design within each stratum is simple random sampling.

This chapter first explains estimation of the population total and population mean. It then discusses confidence intervals and the stratification principle. Next, the chapter describes allocation in stratified random sampling.

Organized into six sections, the book covers basic sampling, from simple random to unequal probability sampling; the use of auxiliary data with ratio and regression estimation; sufficient data, model, and design in practical sampling; useful designs such as stratified, cluster and systematic, multistage, double and network sampling Reviews: The groups thus formed are called strata,and the process of forming strata is known as stratification.

In this connection, we have the following definitions: Definition The procedure of partitioning the population into groups, called strata, and then drawing a sample independently from each stratum, is known as stratified sampling.

Stratified random sampling is a method of sampling that involves the division of a population into smaller groups known as strata. MTH Sampling Theory. Syllabus: Principles of sample surveys; Simple, stratified and unequal probability sampling with and without replacement; ratio, product and regression method of estimation: Systematic sampling; cluster and subsampling with equal and unequal sizes; double sampling, sources of errors in surveys.

Books: You can choose any one of the following book for your reference. Stratification of clinical trials is the partitioning of subjects and results by a factor other than the treatment given. Stratification can be used to ensure equal allocation of subgroups of participants to each experimental condition.

This may be done by gender, age, or other demographic factors. Get this from a library. Double sampling for stratification: a forest inventory application in the Interior West. [David C Chojnacky; United States.

Department of Agriculture.; Rocky Mountain Research Station--Ogden.] -- This paper documents the use of double sampling for Forest Inventory and Analysis (Forest Service, U.S. Department of Agriculture) inventories in the Interior West. The book is organized into six parts: Part I covers basic sampling from simple random sampling to unequal probability sampling; Part II treats the use of auxiliary data with ratio and regression estimation and looks at the ideas of sufficient data, model, and design in practical sampling; Part III covers major useful designs such as stratified.

ELEMENTARY FOREST SAMPLING This is a statistical cookbook for foresters. It presents some sampling methods that have been found useful in forestry. Volume growth is a key indicator in forest management and planning and, accordingly, an integral part of the estimation procedure of forest resources from sample based inventories.

Growth estimation from successive double sampling for stratification (2SS) is somewhat challenging and has not been sufficiently addressed in the pertinent literature.

Multiple-sampling plan A multiple-sampling plan is an extension of double sampling in that Multiple sampling plan more than two samples can be required to sentence a lot. An example of a multiple-sampling plan with five stages follows: Cumulative-Sample Size Acceptance Number Rejection Number 20 0 3 20 40 1 4 60 3 5 80 5 7 8 9 TRY YOURSELF: A multiple-sampling plan is presented above.(3) Selects the sample, [Salant, p58] and decide on a sampling technique, and; (4) Makes an inference about the population.

[Raj, p4] All these four steps are interwoven and cannot be considered isolated from one another. Simple random sampling, systematic sampling, stratified sampling fall into the category of simple sampling techniques.

Stratified Random Sampling. Further Aspects of Stratified Sampling. Ratio Estimators. Regression Estimates. Systematic Sampling. Single-Stage Cluster Sampling: Clusters of Equal Sizes. Single-Stage Cluster Sampling: Clusters of Unequal Sizes. Sub-sampling with Units of Equal Size.

Sub-sampling with Units of Unequal Sizes. Double Sampling.