Combining Estimates from Multiple Surveys

Author(s):  
Michael R. Elliott ◽  
Trivellore E. Raghunathan ◽  
Nathaniel Schenker
Keyword(s):  
1966 ◽  
Vol 8 (1-2) ◽  
pp. 7-9 ◽  
Author(s):  
B. M. Bennett
Keyword(s):  

2019 ◽  
Vol 487 (4) ◽  
pp. 5840-5853 ◽  
Author(s):  
Adam E Lanman ◽  
Jonathan C Pober

Abstract Several experimental efforts are underway to measure the power spectrum of 21 cm fluctuations from the epoch of reionization (EoR) using low-frequency radio interferometers. Experiments like the Hydrogen Epoch of Reionization Array (HERA) and Murchison Widefield Array Phase II (MWA) feature highly redundant antenna layouts, building sensitivity through redundant measurements of the same angular Fourier modes, at the expense of diminished UV coverage. This strategy limits the numbers of independent samples of each power spectrum mode, thereby increasing the effect of sample variance on the final power spectrum uncertainty. To better quantify this effect, we measure the sample variance of a delay-transform based power spectrum estimator, using both analytic calculations and simulations of flat-spectrum EoR-like signals. We find that for the shortest baselines in HERA, the sample variance can reach as high as 20 per cent, and up to 30 per cent for the wider fields of view of the MWA. Combining estimates from all the baselines in a HERA- or MWA-like 37 element redundant hexagonal array can lower the variance to 1−3 per cent for some Fourier modes. These results have important implications for observing and analysis strategies, and suggest that sample variance can be non-negligible when constraining EoR model parameters from upcoming 21 cm data.


1987 ◽  
Vol 11 (3) ◽  
pp. 168-171 ◽  
Author(s):  
Charles E. Thomas ◽  
John C. Rennie

Abstract Foresters occasionally have two or more estimates of the same volume, basal area, or other quantities of interest from independent inventories. A variety of statistical techniques for combining such estimates recently have begun to receive attention in surveys of census characteristics,agriculture, and forestry. Results from two independent timber resource inventories in Wayne County, Tennessee, are reported along with their respective sampling errors. Methods for combining estimates along with example calculations are presented and discussed. Suggestions are made for theapplication of this procedure to other sampling problems. South. J. Appl. For. 11(3):168-171.


Author(s):  
Patrick Royston ◽  
John B. Carlin ◽  
Ian R. White

We present an update of mim, a program for managing multiply imputed datasets and performing inference (estimating parameters) using Rubin's rules for combining estimates from imputed datasets. The new features of particular importance are an option for estimating the Monte Carlo error (due to the sampling variability of the imputation process) in parameter estimates and in related quantities, and a general routine for combining any scalar estimate across imputations.


2020 ◽  
Vol 47 (8) ◽  
pp. 698
Author(s):  
Georgia E. Garrard ◽  
Alexander M. Kusmanoff ◽  
Richard Faulkner ◽  
Chathuri L. Samarasekara ◽  
Ascelin Gordon ◽  
...  

Abstract Context. Feral cats (Felis catus) pose a significant threat to Australia’s native species and feral cat control is, therefore, an important component of threatened species management and policy. Australia’s Threatened Species Strategy articulates defined targets for feral cat control. Yet, currently, little is known about who is engaged in feral cat control in Australia, what motivates them, and at what rate they are removing feral cats from the environment. Aims. We aim to document who is engaging in feral cat control in Australia, how many cats they remove and to estimate the number of feral cats killed in a single year. Furthermore, we seek to better understand attitudes towards feral cat control in Australia. Methods. We used a mixed methods approach combining quantitative and qualitative techniques. Feral cat control data were obtained from existing data repositories and via surveys targeting relevant organisations and individuals. A bounded national estimate of the number of feral cats killed was produced by combining estimates obtained from data repositories and surveys with modelled predictions for key audience segments. Attitudes towards feral cat control were assessed by exploring qualitative responses to relevant survey questions. Key results. We received information on feral cat control from three central repositories, 134 organisations and 2618 individuals, together removing more than 35000 feral cats per year. When including projections to national populations of key groups, the estimated number of feral cats removed from the environment in the 2017–2018 financial year was 316030 (95% CI: 297742–334318). Conclusions. Individuals and organisations make a significant, and largely unrecorded, contribution to feral cat control. Among individuals, there is a strong awareness of the impact of feral cats on Australia’s biodiversity. Opposition to feral cat control focussed largely on ethical concerns and doubts about its efficacy. Implications. There is significant interest in, and commitment to, feral cat control among some groups of Australian society, beyond the traditional conservation community. Yet more information is needed about control methods and their effectiveness to better understand how these efforts are linked to threatened species outcomes.


1998 ◽  
Vol 65 (1) ◽  
pp. 71-108 ◽  
Author(s):  
Bessie H. Kirkwood ◽  
Ted Chang

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