scholarly journals How to make estimates with compensation for nonresponse in statistical analysis of census data

2021 ◽  
Vol 8 (2) ◽  
pp. 149-159
Author(s):  
Milan Terek ◽  
Eva Muchova ◽  
Peter Lesko
Keyword(s):  
Statistical Analysis ◽  
Census Data ◽  
Sample Survey ◽  
Sample Surveys ◽  
Suggested Approach

The paper deals with the problem of solving the nonresponse problem in a realized census. The purpose is to modify the method of poststratification using weights to compensate for nonresponse, which is known in sample surveys, for its application in censuses. The suggested approach offers more accurate estimates because of compensation for nonresponse and the possibility to formulate broader conclusions based on the census data. The approach is advised in all surveys in which the costs of realization the survey by the census, are practically the same as for sample survey and the list of all units of the population is available.

Restricted quasi-score estimating functions for sample survey data

2004 ◽  
Vol 41 (A) ◽  
pp. 119-130
Author(s):  
Y.-X. Lin ◽  
D. Steel ◽  
R. L Chambers
Keyword(s):  
Maximum Likelihood ◽  
Survey Data ◽  
Sample Survey ◽  
Likelihood Method ◽  
Sample Surveys ◽  
Estimating Functions ◽  
Limit Theory ◽  
Normal Probability ◽  
Probability Structure ◽  
Sample Survey Data

This paper applies the theory of the quasi-likelihood method to model-based inference for sample surveys. Currently, much of the theory related to sample surveys is based on the theory of maximum likelihood. The maximum likelihood approach is available only when the full probability structure of the survey data is known. However, this knowledge is rarely available in practice. Based on central limit theory, statisticians are often willing to accept the assumption that data have, say, a normal probability structure. However, such an assumption may not be reasonable in many situations in which sample surveys are used. We establish a framework for sample surveys which is less dependent on the exact underlying probability structure using the quasi-likelihood method.

scholarly journals O przezwiskach gimnazjalistów kaliskich (analiza semantyczna)

2016 ◽  
Vol 23 (1) ◽  
pp. 161-178
Author(s):  
Marta Lewicka
Keyword(s):  
Statistical Analysis ◽  
Secondary School ◽  
Semantic Analysis ◽  
Sample Survey ◽  
Personal Names ◽  
School Year ◽  
Material Basis ◽  
The Common ◽  
Year 2013

The article presents the semantic analysis of students’ nicknames. The onomastic material has been taken from a sample survey conducted in one of secondary school in Kalisz at a school year 2013/2014. The material basis consists of 269 personal names. The anthroponyms formed on common names are analysed in detail in the article. The main aim of the study is to observe the connections between the nicknames and the common names which motivate them. The semantic analysis and the statistical analysis of school nicknames allow to notice and reconstruct the mechanisms which affect nicknames formation as well as to observe the connections between the name and the designatum.

scholarly journals Impacts of 150 Years of Modernization Policies on the Management of Common Forests in Japan: A Statistical Analysis of Micro Census Data

2019 ◽  
Vol 13 (2) ◽  
pp. 1021-1034 ◽  
Author(s):  
Takuya Takahashi ◽  
Koji Matsushita ◽  
Yoshio Yoshida ◽  
Tetsuji Senda
Keyword(s):  
Statistical Analysis ◽  
Census Data

Updating Existing Travel Simulation Models with Small-Sample Survey Data Using Parameter Scaling Methods

1997 ◽  
Vol 1607 (1) ◽  
pp. 55-61
Author(s):  
W. Thomas Walker ◽  
Scott H. Brady ◽  
Charles Taylor
Keyword(s):  
Survey Data ◽  
Primary Source ◽  
Simulation Models ◽  
Small Sample ◽  
Sample Survey ◽  
Secondary Source ◽  
Sample Surveys ◽  
Large Sample ◽  
Scaling Methods ◽  
Home Interview

The travel simulation models for many metropolitan areas were originally developed and calibrated with older large-sample travel surveys that can no longer be undertaken given today’s funding constraints. Small-sample travel surveys have been collected as part of model update activities required by the Intermodal Surface Transportation Efficiency Act and the Clean Air Act Amendments. Although providing useful information, these surveys are inadequate for calibrating elaborate simulation models by traditional techniques. Parameter transfer scaling based on small-sample surveys and other secondary source data can be a cost-effective alternative to large-sample surveys when existing models are being updated, particularly when the models tend to be robust and the required changes are relatively small. The use of parameter scaling methods to update the Delaware Valley Planning Commission’s existing travel simulation models is demonstrated. All available sources of data are incorporated into the update process including current survey data, census work trips from the Census Transportation Planning Package (CTPP), transit ridership checks, highway screenline counts, and Highway Performance Monitoring System travel estimates. A synopsis of experience with parameter scaling techniques including the model changes and resulting accuracy is provided. Overall, small-sample-based parameter scaling techniques were judged to be effective. The census CTPP data were evaluated versus the home interview and were found to be useful in the model recalibration effort as a source of small-area employment data by place of work and as a supplement to home interview data for model validation. However, a home interview survey is required as the primary source of travel data for both work and nonwork trips.

Language maintenance in the second generation

1992 ◽  
Vol 15 (1) ◽  
pp. 53-70 ◽  
Author(s):  
E. Jane Bennett
Keyword(s):  
Statistical Analysis ◽  
Positive Attitude ◽  
Second Generation ◽  
Language Maintenance ◽  
Census Data ◽  
The Other ◽  
English Only ◽  
Frequency Of Use ◽  
Computer Aided ◽  
Maintenance Activities

Abstract The article discusses the attitude of the second generation Dutch in Australia to language maintenance. It gives a profile of the group’s language maintenance activities, and examines factors related to language maintenance attitudes and the use of Dutch. The research involved detailed personal interviews with 100 members of the target group. Some of the information collected was evaluated quantitatively using computer-aided statistical analysis; other responses were analysed primarily in qualitative terms. The results revealed a more positive attitude to language maintenance and greater frequency of use of Dutch than might have been expected on the basis of the (limited) previous research on the second generation or the national census data. On the other hand, there was relatively little participation in activities with the potential to influence the use of Dutch: visits to the Netherlands, association with Dutch organizations, and attendance at Dutch classes. Overall the research provided no evidence of a continuing decline in frequency of use of Dutch to the point of a complete shift to English only. It was also clear that many informants valued their current use of Dutch.

The Citizen as Respondent: Sample Surveys and American Democracy Presidential Address, American Political Science Association, 1995

1996 ◽  
Vol 90 (1) ◽  
pp. 1-7 ◽  
Author(s):  
Sidney Verba
Keyword(s):  
Citizen Participation ◽  
Presidential Address ◽  
Sample Survey ◽  
American Political Science Association ◽  
Sample Surveys ◽  
American Democracy ◽  
The Public ◽  
The Government ◽  
American Political Science ◽  
Science Association

Citizen participation is the main way in which the public communicates its needs and preferences to the government and induces the government to be responsive. Since participation depends on resources and resources are unequally distributed, the resulting communication is a biased representation of the public. Thus, the democratic ideal of equal consideration is violated. Sample surveys provide the closest approximation to an unbiased representation of the public because participation in a survey requires no resources and because surveys eliminate the selection bias inherent in the fact that participants in politics are self-selected. The contrast between the participatory process and the sample survey is used to highlight the nature of the bias in the former. Surveys, however, are not seen as a practical way of providing more equal representation.

The Research on the Universities Counselor’s Profession and Competence

2010 ◽  
Vol 171-172 ◽  
pp. 752-755
Author(s):  
Hong Chun Zhu ◽  
Zhi Gang Zhou
Keyword(s):  
Statistical Analysis ◽  
Career Development ◽  
Evaluation System ◽  
Sample Survey ◽  
Scientific Evaluation ◽  
The Difference ◽  
The Impact

In the investigation of the universities counselor’s contradiction and bepuzzlement in work and competence, this paper obtain the following results by sample survey of counselors and statistical analysis of profession and competence. Counselors own identity on their career will affect the counselor’s ability. The awareness of the importance of counselor’s ability is by the impact of different occupations. And the difference of this understanding in turn will affect the career development of counselors. The development law of the universities counselor’s profession and competence is explored. According to the analysis and the research, a scientific evaluation system for counselor’s ability is established, which is consistent with the needs of counselors, and is the key to building professionalism for the counselors.

Geospatial clustering of childhood IgA vasculitis and IgA vasculitis-associated nephritis

2020 ◽  
pp. annrheumdis-2020-218649
Author(s):  
Matej Sapina ◽  
Marijan Frkovic ◽  
Mario Sestan ◽  
Sasa Srsen ◽  
Aleksandar Ovuka ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Spatial Variability ◽  
Spatial Autocorrelation ◽  
Census Data ◽  
Analytical Techniques ◽  
Danube River ◽  
University Hospital ◽  
Iga Vasculitis ◽  
Spatial Statistical Analysis ◽  
Continental Part

ObjectivesResearch on spatial variability of the incidence of IgA vasculitis (IgAV) in children and its potential implications for elucidation of the multifactorial aetiology and pathogenesis is limited. We intended to observe spatial variability of the incidence of IgAV and IgA vasculitis-associated nephritis (IgAVN) using modern geostatistical methods, and hypothesised that their spatial distribution may be spatially clustered.MethodsPatients' data were retrospectively collected from 2009 to 2019 in five Croatian University Hospital Centres for paediatric rheumatology, and census data were used to calculate the incidence of IgAV. Using spatial empirical Bayesian smoothing, local Morans’ I and local indicator of spatial autocorrelation (LISA), we performed spatial statistical analysis.Results596 children diagnosed with IgAV were included in this study, of which 313 (52.52%) were male. The average annual incidence proportion was estimated to be 6.79 per 100 000 children, and the prevalence of IgAVN was 19.6%. Existence of spatial autocorrelation was observed in both IgAV and IgAVN; however, clustering distribution differed. While IgAV showed clustering in Mediterranean and west continental part around cities, IgAVN was clustered in the northern Mediterranean and eastern continental part, where a linear cluster following the Drava and Danube river was observed.ConclusionIgAV incidence in Croatia is similar to other European countries. Spatial statistical analysis showed a non-random distribution of IgAV and IgAVN. Although aetiological associations cannot be inferred, spatial analytical techniques may help in investigating and generating new hypotheses in non-communicable diseases considering possible environmental risk factors and identification of potential genetic or epigenetic diversity.

Statistical Analysis on Satisfaction of Residents Living in Prefabricated Concrete Buildings in Thailand

2014 ◽  
Vol 931-932 ◽  
pp. 520-524 ◽  
Author(s):  
Boonsap Witchayangkoon ◽  
Kamon Budsaba ◽  
Saharat Buddhawanna ◽  
Sayan Sirimontree ◽  
Krittiya Lertpocasombut
Keyword(s):  
Statistical Analysis ◽  
Multiple Comparisons ◽  
Sample Survey ◽  
External Appearance ◽  
Concrete Buildings ◽  
Homogeneity Of Variances ◽  
Significant Difference ◽  
Homogeneity Of Variance ◽  
Moisture Protection ◽  
Males And Females

Sample survey has been conducted to evaluate satisfaction of residents living in prefabricated concrete buildings (dormitories, detached houses, and townhouses) in Thailand. Nine criteria have been determined including moisture protection, noise prevention, safety of structures, thermal prevention, air flow, external appearance, interior, facility, and overall satisfaction. The t-test indicates that the satisfaction score mean between males and females for each criterion is not significantly different. The Levenes test shows that our survey data do not follow homogeneity of variance assumption for ANOVA F-test for most criteria, except for airflows and overall satisfaction criteria. Welch and Brown-Forsythe tests are then used under non-homogeneity of variances. The tests reveal that all criteria show a significant difference among habitats groups, but not for the thermal prevention criterion. Some multiple comparisons also show many pairs of significant mean difference among habitat groups.

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