Types of indicators, respective ranking and weighting procedures

2018 ◽  
pp. 58-61
Keyword(s):  
Weighting Procedures

Statistical Bias Problem in On-Site Surveys: the Severity of the Problem and its Potential for Solution

1975 ◽  
Vol 32 (12) ◽  
pp. 2520-2524
Author(s):  
William F. Sinclair ◽  
R. W. Morley
Keyword(s):  
Fishing Effort ◽  
Recreational Fisheries ◽  
Statistical Bias ◽  
Relative Probability ◽  
Fishing Vessels ◽  
Frequency Of Use ◽  
Unbiased Estimates ◽  
Weighting Procedures ◽  
Use Category

Commercial and recreational fisheries managers often develop catch and effort estimates from information gathered in location or on-site surveys. However, a limited on-site sample cannot produce unbiased estimates of fishing effort or socioeconomic traits of the anglers unless weighting procedures are adopted to account for the varying frequencies of fishing of the fishermen. The corrective procedure involves establishing the relative probability of capturing a fisherman in the sample, then weighting the number of contacts with anglers in each frequency of use category. Unless information on the probability of including particular fishermen and fishing vessels in the sample is available the sample must be drawn with replacement.

A framework for the evaluation and use of alternative data in the Consumer Expenditure Surveys

1915 ◽  
Author(s):  
Laura Erhard ◽  
Brett McBride ◽  
Adam safir
Keyword(s):  
Strategic Plan ◽  
Consumer Expenditure ◽  
Quality Of Data ◽  
Additional Information ◽  
Complementary Role ◽  
Labor Statistics ◽  
Weighting Procedures ◽  
Bureau Of Labor Statistics ◽  
The U.S

As part of the implementation of its strategic plan, the U.S. Bureau of Labor Statistics (BLS) has increasingly studied the issue of using alternative data to improve both the quality of its data and the process by which those data are collected. The plan includes the goal of integrating alternative data into BLS programs. This article describes the framework used by the BLS Consumer Expenditure Surveys (CE) program and the potential these data hold for complementing data collected in traditional formats. It also addresses some of the challenges BLS faces when using alternative data and the complementary role that alternative data play in improving the quality of data currently collected. Alternative data can substitute for what is presently being collected from respondents and provide additional information to supplement the variables the CE program produces or to adjust the CE program’s processing and weighting procedures.

scholarly journals Pendekatan Penentuan Bobot dengan Surrogate Weighting Procedures untuk Metode Simple Additive Weighting dalam Pengambilan Keputusan Multikriteria

2019 ◽  
Vol 3 (3) ◽  
pp. 113
Author(s):  
I Gede Iwan Sudipa ◽  
Komang Sri Aryati
Keyword(s):  
Rank Order ◽  
Equal Weight ◽  
Simple Additive Weighting ◽  
Weighting Procedures

Penentuan bobot multikriteria dalam pengambilan keputusan menjadi suatu kesulitan bagi pengambil keputusan, penentuan bobot diperlukan untuk melakukan evaluasi kriteria. Namun dalam beberapa situasi pengambil keputusan  tidak percaya diri atau tidak memiliki pengetahuan untuk mendefinisikan nilai preferensi untuk bobot dan lebih menyukai menggunakan informasi parsial dan penilaian subyektif terhadap bobot kriteria. Salah satu cara penentuan bobot adalah dengan menentukan urutan prioritas kriteria dan menggunakan Surrogate Weight (bobot pengganti) untuk menentukan bobot sesuai dengan jumlah kriteria yang digunakan. Dalam penelitian ini mengimplementasikan Surrogate Weight Procedures yang terdiri dari Rank Sum(RS), Rank Reciprocal(RR), Rank Order Centroid(ROC) dan Equal Weight(EW) untuk menentukan bobot dan metode Simple Additive Weighting (SAW) untuk melakukan perankingan. Simulasi kasus yang digunakan yaitu seleksi pemberian beasiswa PPA (Peningkatan Prestasi Akademik) dengan  9 kriteria dan 22 alternatif. Hasil pengujian dalam penelitian ini yaitu analisis perbandingan hasil akhir alternatif dari kombinasi metode RS-SAW, RR-SAW, ROC-SAW dan EW-SAW .Kata Kunci : Multikriteria,Surrogate Weight, SAW

scholarly journals Do alternative weighting approaches for an Index of Multiple Deprivation change the association with mortality? A sensitivity analysis from Germany

BMJ Open ◽  
2019 ◽  
Vol 9 (8) ◽  
pp. e028553 ◽  
Author(s):  
Florian Schederecker ◽  
Christoph Kurz ◽  
Jon Fairburn ◽  
Werner Maier
Keyword(s):  
Age Groups ◽  
Total Mortality ◽  
Premature Mortality ◽  
Area Deprivation ◽  
Multiple Deprivation ◽  
The Stability ◽  
Weighting Procedures ◽  
The Impact ◽  
The Relationship ◽  
Index Of Multiple Deprivation

ObjectivesThis study aimed to assess the impact of using different weighting procedures for the German Index of Multiple Deprivation (GIMD) investigating their link to mortality rates.Design and settingIn addition to the original (normative) weighting of the GIMD domains, four alternative weighting approaches were applied: equal weighting, linear regression, maximization algorithm and factor analysis. Correlation analyses to quantify the association between the differently weighted GIMD versions and mortality based on district-level official data from Germany in 2010 were applied (n=412 districts).Outcome measuresTotal mortality (all age groups) and premature mortality (<65 years).ResultsAll correlations of the GIMD versions with both total and premature mortality were highly significant (p<0.001). The comparison of these associations using Williams’s t-test for paired correlations showed significant differences, which proved to be small in respect to absolute values of Spearman’s rho (total mortality: between 0.535 and 0.615; premature mortality: between 0.699 and 0.832).ConclusionsThe association between area deprivation and mortality proved to be stable, regardless of different weighting of the GIMD domains. The theory-based weighting of the GIMD should be maintained, due to the stability of the GIMD scores and the relationship to mortality.

Weighting Procedures in Probability-Type Samples

1958 ◽  
Vol 23 (1) ◽  
pp. 47
Author(s):  
John H. Platten
Keyword(s):  
Weighting Procedures

Deconvolution with the ℓ1 norm

Geophysics ◽  
1979 ◽  
Vol 44 (1) ◽  
pp. 39-52 ◽  
Author(s):  
Howard L. Taylor ◽  
Stephen C. Banks ◽  
John F. McCoy
Keyword(s):  
Linear Programming ◽  
Spike Train ◽  
Initial Approximation ◽  
Spike Trains ◽  
General Linear ◽  
Programming System ◽  
Sample Rate ◽  
Weighting Procedures

Given a wavelet w and a noisy trace t + s * w + n, an approximation ŝ of the spike train s can be obtained using the [Formula: see text] norm. This extraction has the advantage of preserving isolated spikes in s. On some types of data the spike train ŝ can represent s as a sparse series of spikes, which may be sampled at a rate higher than the sample rate of the data trace t. The extracted spike train ŝ may be qualitatively much different than those commonly extracted using the [Formula: see text] norm. The [Formula: see text] norm can also be used to extract a wavelet ŵ from a trace t when a spike train s is known. This wavelet extraction can be constrained to give a smooth wavelet which integrates to zero and goes to zero at the ends. Given a trace t and an initial approximation for either s or w, it is possible to alternately extract spike trains and wavelets to improve the representation of trace t. Although special algorithms have been developed to solve [Formula: see text] problems, all of the calculations can be performed using a general linear programming system. Proper weighting procedures allow these methods to be used on ungained data.

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