ICAR Research Data Repository for Knowledge Management
Unbiased Ratio and Regression Type Estimators
KRISHI: Publication and Data Inventory Repository
View Archive Info| Field | Value | |
| Title |
Unbiased Ratio and Regression Type Estimators
Not Available |
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| Creator |
N.S. Sastry
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| Subject |
Double Sampling
Ratio Type Estimators |
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| Description |
Not Available
Simple random sampling is by far the most commonly used method of sampling in surveys. It is simple, operationally convenient and gives equal chance of selection for all the units in the population. When, however, the units vary considerably in size, as is often the case, simple random sampling does not take into account the possible importance of larger units in the population. Under such circumstances, without foregoing the operational convenience of simple random sampling, it is desirable to use auxiliary information, such as size of unit, at the estimation stage, for obtaining more efficient estimators of the population value in the sense of giving estimators with smaller standard errors. Two examples of such estimation procedures are the 'Ratio and Regression’ methods of estimation. Not Available |
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| Date |
2018-08-27T10:25:53Z
2018-08-27T10:25:53Z 1964-01-01 |
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| Type |
Dissertation/Thesis
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| Identifier |
N.S. Sastry (1964) , Unbiased Ratio and Regression Type Estimators, Unpublished Diploma in Agricultural and Animal Husbandry Statistics, IASRI, New Delhi
Not Available http://krishi.icar.gov.in/jspui/handle/123456789/6570 |
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| Language |
English
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| Relation |
Not Available;
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| Publisher |
ICAR-IASRI (Erstwhile IARS), New Delhi
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