Excerpt from Model-Dependent and Design-Dependent Sampling Procedures: A Simulation Study If not enough is known about the relationship between y and x to correct for imbalance in the sample, then a sample should be balanced on average, with respect to x such as in random sampling. A Iachan (1985) noted that the ratio-of-means estimator T can be badly biased. For example, for the model-based expectation (denoted by E2) About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find ...
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Excerpt from Model-Dependent and Design-Dependent Sampling Procedures: A Simulation Study If not enough is known about the relationship between y and x to correct for imbalance in the sample, then a sample should be balanced on average, with respect to x such as in random sampling. A Iachan (1985) noted that the ratio-of-means estimator T can be badly biased. For example, for the model-based expectation (denoted by E2) About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at ... This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
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Add this copy of Model-Dependent and Design-Dependent Sampling to cart. $28.73, new condition, Sold by Media Smart rated 4.0 out of 5 stars, ships from Hawthorne, CA, UNITED STATES, published 2018 by Forgotten Books.
