Confidence Intervals for Postcensal State Population Estimates

Confidence Intervals for Trend Estimates With Autocorrelated Observations

Calculating Approximate Standard Errors and Confidence Intervals for Current Population Survey Estimates

Approximate standard errors and confidence intervals for CPS estimates can be calculated using instructions in this document and the parameter and factor tables (PF-1 through PF-16) available online at https://www.bls.gov/cps/parameters-and-factors-for-calculating-standard-errors.xlsx. (These tables mirror tables A-1 through A-16 of the monthly Employment Situation news release.) The parameter ...

Uncertainty in Population Growth Rates: Determining Confidence Intervals from Point Estimates of Parameters

BACKGROUND Demographic models are widely used in conservation and management, and their parameterisation often relies on data collected for other purposes. When underlying data lack clear indications of associated uncertainty, modellers often fail to account for that uncertainty in model outputs, such as estimates of population growth. METHODOLOGY/PRINCIPAL FINDINGS We applied a likelihood ap...

Developing Postcensal Income and Poverty Estimates for All Us Counties

of other Federal Agencies -Food and Nutrition Service (USDA), National Center for Education Statistics (DoEd), Head Start (HHS), HUD, and the Employment and Training Administration (DoL) -initiated a project to provide postcensal estimates of income and poverty for small areas during the 1990's. While current plans for the 2000 census include a system of "continuous measurement" which will peri...

Iterated Smoothed Bootstrap Confidence Intervals for Population Quantiles

This paper investigates the effects of smoothed bootstrap iterations on coverage probabilities of smoothed bootstrap and bootstrap-t confidence intervals for population quantiles, and establishes the optimal kernel bandwidths at various stages of the smoothing procedures. The conventional smoothed bootstrap and bootstrap-t methods have been known to yield one-sided coverage errors of orders O(n...