Sampling moving strata on two occasions

1993 ◽  
Vol 23 (1) ◽  
pp. 96-100 ◽  
Author(s):  
Paul C. Van Deusen
Keyword(s):  
Random Sampling ◽  
Simple Random Sampling ◽  
Systematic Sampling ◽  
Forest Types ◽  
Time Periods ◽  
Over Time

When forest types define the strata, the boundaries will often move over time. A method is presented for producing estimates of stratum means at two time periods when the stratum boundaries are changing. The method is valid when the samples are taken under either simple random sampling or systematic sampling.

scholarly journals Comparison of Variance Estimators for Systematic Environmental Sample Surveys: Considerations for Post-Stratified Estimation

Forests ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 772
Author(s):  
Bryce Frank ◽  
Vicente J. Monleon
Keyword(s):  
Random Sampling ◽  
Simple Random Sampling ◽  
National Forest Inventory ◽  
Point Estimation ◽  
Systematic Sampling ◽  
Sampling Variance ◽  
Variance Estimators ◽  
The Past ◽  
Point Estimators ◽  
Species Specific

The estimation of the sampling variance of point estimators under two-dimensional systematic sampling designs remains a challenge, and several alternative variance estimators have been proposed in the past few decades. In this work, we compared six alternative variance estimators under Horvitz-Thompson (HT) and post-stratification (PS) point estimation regimes. We subsampled a multitude of species-specific forest attributes from a large, spatially balanced national forest inventory to compare the variance estimators. A variance estimator that assumes a simple random sampling design exhibited positive relative bias under both HT and PS point estimation regimes ranging between 1.23 to 1.88 and 1.11 to 1.78 for HT and PS, respectively. Alternative estimators reduced this positive bias with relative biases ranging between 1.01 to 1.66 and 0.90 to 1.64 for HT and PS, respectively. The alternative estimators generally obtained improved efficiencies under both HT and PS, with relative efficiency values ranging between 0.68 to 1.28 and 0.68 to 1.39, respectively. We identified two estimators as promising alternatives that provide clear improvements over the simple random sampling estimator for a wide variety of attributes and under HT and PS estimation regimes.

scholarly journals On the Estimation of Population Mean Under Systematic Sampling Using Auxiliary Attributes

2016 ◽  
Vol 1 (1-2) ◽  
pp. 21-25 ◽  
Author(s):  
Usman Shahzad
Keyword(s):  
Mean Square Error ◽  
Random Sampling ◽  
Simple Random Sampling ◽  
Sampling Scheme ◽  
Systematic Sampling ◽  
Mean Square ◽  
Numerical Illustration ◽  
Systematic Random Sampling ◽  
Population Mean ◽  
New Family

Naik and Gupta (1996), Singh et al. (2007) and Abd-Elfattah et al. (2010) introduced some estimators for estimating population mean using available auxiliary attributes under simple random sampling scheme. We adapt these estimators under systematic random sampling scheme using available auxiliary attributes. Further, a new family of estimators is proposed for the estimation of population mean under systematic random sampling scheme. The properties such as bias and mean square error of the proposed estimators are derived. From numerical illustration it is shown that proposed estimators are more efficient than the reviewed ones.

Abstract TP316: Urban Crural Comparisons of Treatments and Outcomes for Ischemic Cerebrovascular Diseases

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Chunjuan Wang ◽  
Zixiao Li ◽  
Hongqiu Gu ◽  
Yong Jiang ◽  
Xia Meng ◽  
...  
Keyword(s):  
Hospital Mortality ◽  
Rural Areas ◽  
Random Sampling ◽  
Simple Random Sampling ◽  
Cerebrovascular Diseases ◽  
Systematic Sampling ◽  
Adjusted Risk ◽  
Ischemic Cerebrovascular Diseases ◽  
Nationally Representative ◽  
Urban And Rural Areas

Background: Little is known about healthcare quality and patient outcomes of ischemic cerebrovascular diseases between urban and rural areas in China during the past decade. Methods: We used a two-stage random sampling method to create a nationally representative sample of patients in China hospitalized for ischemic stroke (IS)/ Transient ischemic attack (TIA) in 2005, 2010, and 2015. Firstly, we used simple random sampling to obtain a list of participating hospitals in 2 urban and 3 rural strata. Secondly, we obtained medical records at each hospital on clinical profiles, tests, treatments and outcomes using a systematic sampling approach. We weighted our findings to explore rural-urban disparities from 2005 to 2015. Results: A total of 30 827 patients were sampled from 189 hospitals with 14 418 (46.8%) from urban and 16 409 (53.2%) from rural. We observed a decreased disparity between urban and rural in eligible patients receiving antiplatelet and anticoagulant for atrial fibrillation (AF) (both P trend <0.0001), a diminished disparity of statins use by 2015 (70.9% in urban versus 69.9% in rural; P=0.1852) and an emerging disparity of antihypertensive treatment (P trend <0.0001). The disparities of composite score of tests (from 0.24 in urban vs 0.18 in rural to 0.30 in urban vs 0.33 in rural, P trend <0.0001) and in-hospital treatments (from 0.45 in urban vs 0.49 in rural to 0.70 in urban vs 0.69 in rural, P trend <0.0001) were all decreased from 2005 to 2015. In-hospital mortality have both decreased significantly in urban or rural areas, the adjusted risk of in-hospital mortality in urban was higher than rural in both 2005 (OR [95% CI]: 2.26 [1.12-4.55], p=0.0223) and 2015 (OR [95% CI]: 2.64 [1.30-5.36], p=0.0070), however, the trend of disparity was not significant (P for interaction =0.9527). Conclusion: Although urban-rural disparities in evidence-based treatments for IS/TIA patients have largely been eliminated, substantial gaps in quality of care persist in both settings.

scholarly journals Estimates of Inequality Indices Based on Simple Random, Ranked Set, and Systematic Sampling

2013 ◽  
Vol 2013 ◽  
pp. 1-14 ◽  
Author(s):  
Pooja Bansal ◽  
Sangeeta Arora ◽  
Kalpana K. Mahajan
Keyword(s):  
Random Sample ◽  
Random Sampling ◽  
Gini Index ◽  
Simple Random Sampling ◽  
Sampling Procedure ◽  
Simple Random Sample ◽  
Systematic Sampling ◽  
Monte Carlo Simulation Technique ◽  
Random Samples ◽  
Bonferroni Index

Gini index, Bonferroni index, and Absolute Lorenz index are some popular indices of inequality showing different features of inequality measurement. In general simple random sampling procedure is commonly used to estimate the inequality indices and their related inference. The key condition that the samples must be drawn via simple random sampling procedure though makes calculations much simpler but this assumption is often violated in practice as the data does not always yield simple random sample. Nonsimple random samples like Ranked set sampling or stratified sampling are gaining popularity for estimating these indices. The purpose of the present paper is to compare the efficiency of simple random sample estimates of inequality indices with their nonsimple random counterparts. Monte Carlo simulation technique is applied to get the results for some specific distributions.

scholarly journals Pengujian Data Warehouse SOLAP untuk Komoditas Pertanian Indonesia

2021 ◽  
Vol 8 (1) ◽  
pp. 42-56
Author(s):  
Farah Ghita ◽  
Rina Trisminingsih
Keyword(s):  
Data Warehouse ◽  
Random Sampling ◽  
Simple Random Sampling ◽  
Systematic Sampling

Pengujian merupakan tahapan yang sangat penting dalam pengembangan data warehouse, karena analisis dan keputusan dibuat berdasarkan informasi yang dihasilkan dari data warehouse. Terdapat sistem yang memungkinkan analisis pada data spasial dengan interaktif dan efisien, yaitu sistem spatial OLAP (SOLAP). Dalam pembangunan data warehouse terdapat tahapan penting, yaitu proses extract, transform, load (ETL). Penelitian ini melakukan pengujian data warehouse, khususnya pengujian modul ETL pada SOLAP komoditas pertanian Indonesia yang telah dikembangkan pada penelitian sebelumnya. Hasil pengujian proses ETL menunjukkan adanya ketidaksesuaian antara data sumber dan data warehouse. Dalam penelitian ini, pengujian modul ETL dilakukan dengan pengujian fungsional, yaitu memvalidasi data target dengan data sumber. Pengujian modul ETL diawali dengan membuat source-to-target mappings dan aturan kualitas data sebagai acuan untuk pembuatan kasus uji. Pengujian proses ETL terdiri atas pengujian kualitas data dan keseimbangan data yang dilakukan dengan menjalankan kueri pada sistem manajemen basis data (DBMS). Pengujian keseimbangan data menggunakan metode simple random sampling dan systematic sampling. Hasil pengujian dianalisis dan ditemukan letak kesalahan pengembangan pada proses ETL, tampilan aplikasi SOLAP dan pengambilan data sumber. Kata Kunci: Data warehouse, ETL, komoditas pertanian, pengujian data warehouse.

scholarly journals Accuracy of Subsampling for Height Measurements in Loblolly Pine Plots

2009 ◽  
Vol 33 (3) ◽  
pp. 145-149 ◽  
Author(s):  
Colleen A. Carlson ◽  
Thomas R. Fox ◽  
Harold E. Burkhart ◽  
H. Lee Allen ◽  
Timothy J. Albaugh
Keyword(s):  
Loblolly Pine ◽  
Random Sampling ◽  
Southeastern United States ◽  
Simple Random Sampling ◽  
Stratified Sampling ◽  
The Other ◽  
Diameter Distribution ◽  
Systematic Sampling ◽  
Sampling Strategies ◽  
Sampling Schemes

Abstract Estimating heights in research and inventory plots is costly. We examined the feasibility of subsampling tree heights as opposed to measuring all trees. Four sampling intensities (75, 50, 25, and 10%) and four sampling strategies (systematic sampling, simple random sampling without replacement, stratified sampling across the diameter distribution, and sampling the first trees in each plot) were investigated. Data from 600 loblolly pine plots in fertilizer trials in the southeastern United States were used. The application of a height–dbh regression to predict the heights of unmeasured trees was also investigated. Sampling the first trees generally resulted in poorer estimates than the other sampling schemes. Systematic and simple random sampling performed similarly. A 50% sampling intensity with either systematic or simple random sampling and a height–dbh regression predicting the heights of unmeasured trees estimated more than 90% of plots to within 2.2% of the observed plot height and more than 94% of plots to within 2.5% of the observed volume, and they were more accurate than the stratified sampling at the same intensity. Systematic sampling is easy to implement, requiring no prior plot knowledge. We conclude that a 50% systematic sampling combined with a height–dbh regression will reduce costs without compromising accuracy.

Peran Penilaian Formatif terhadap Motivasi Belajar Mahasiswa, Sebuah Tinjauan Pustaka

2014 ◽  
Vol 5 (1) ◽  
pp. 56
Author(s):  
Putri Zalika Laila M.K
Keyword(s):  
Random Sampling ◽  
Simple Random Sampling ◽  
Cross Sectional

Penyakit Jantung Koroner (PJK) adalah sekelompok sindrom yang berkaitan erat yang disebabkan oleh ketidakseimbangan antara kebutuhan oksigen miokardium dan aliran darah. Pada umumnya faktor risiko terjadinya penyakit jantung koroner adalah hipertensi. Penelitian ini bertujuan untuk menentukan hubungan tekanan darah dengan kejadian penyakit jantung koroner di Rumah Sakit Muhammadiyah Palembang dan Rumah Sakit Umum Daerah Palembang BARI periode Januari-Desember 2012. Penelitian ini menggunakan metode deskriptif analitik dengan rancangan cross sectional di bagian ilmu penyakit dalam Rumah Sakit Umum Daerah Palembang BARI dan Rumah Sakit Muhammadiyah Palembang dengan cara pengambilan sampel yaitu simple random sampling. Dari 200 subjek penelitian, penyakit jantung yang mempunyai hipertensi sebanyak 100 dan yang tidak hipertensi sebanyak 100. Hasil analisis didapatkan jumlah pada subjek hipertensi yang terkena penyakit jantung koroner sebesar 64(64%) sedangkan pada non hipertensi yang terkena penyakit jantung koroner didapatkan sebanyak 32(32%). Rasio prevalensi didapatkan adalah 2,00 dengan interval kepercayaan 95% antara 1,450-2,758. Hasil analisis chi-squeare didapatkan nilai X2 didapatkan hasil 19,251 dan nilai p: 0,000 yang artinya ada hubungan faktor risiko antara hipertensi dengan penyakit jantung koroner dengan taraf significant sangat bermakna. Hipertensi merupakan faktor risiko untuk terjadinya penyakit jantung koroner, penderita hipertensi berisiko 2 kali lebih besar terkena penyakit jantung koroner.

PENGARUH LATIHAN BEBAN TERHADAP KEMAMPUAN PUKULAN TOPSPIN DALAM PERMAINAN TENISMEJA PADA MAHASISWA OLAHRAGA UNIVERSITAS MUHAMMADIYAH LUWUK

2018 ◽  
Vol 1 (1) ◽  
Author(s):  
AKBAR SUDIRMAN
Keyword(s):  
Random Sampling ◽  
Simple Random Sampling

AbstrakPengaruh Latihan Beban terhadap Kemampuan Pukulan Forehand Topspin dalam Pemainan Tenismeja pada Mahasiswa Olahraga Universitas Muhammadiyah Luwuk.Penelitian ini adalah jenis penelitian deskriptif yang bertujuan untuk mengetahui. Apakah ada pengaruh latihan beban terhadap kemampuan pukulan forehand topspin dalam permainan tenismeja pada Mahasiswa Olahraga Universitas Muhammadiyah Luwuk.Populasi penelitian ini adalah seluruh mahasiswa putra Prodi. Pendidikan Olahraga UML yang telah lulus tenismeja dasar. Teknik pengambilan sampel dilakukan secara simple random sampling sehingga yerpilih sebanyak 20 mahasiswa untuk diberikan latihan beban Teknik analisis data yang digunakan adalah statistik deskriptif dan inferensial melalui program SPSS 20 pada taraf signifikan α = 0.05.Hasil penelitian ini menunjukkan bahwa: Ada pengaruh yang signifikan latihan beban terhadap kemampuan pukulan forehand topspin dalam permainan tenismeja terbukti adanya peningkatan dari nilai rata-rata 9,00 meningkat menjadi 10,75. Kesimpulan bahwa latihan beban berpengaruh terhadap kemampuan pukulan forehand topspin dalam permainan tenismeja.Kata kunci: Latihan Beban. Kemampuan Forehand Topspin

HUBUNGAN PERAN FAMILY CAREGIVER TERHADAP QUALITAS HIDUP LANSIA

2019 ◽  
Vol 11 (1) ◽  
pp. 51-56
Author(s):  
RIANI PRADARA JATI ◽  
Sekar Farah Nabila
Keyword(s):  
Quality Of Life ◽  
Family Caregiver ◽  
Random Sampling ◽  
Simple Random Sampling ◽  
The Elderly ◽  
Chi Square ◽  
The Poor ◽  
The Family

  Penempatan peran yang baik bagi Family Caregiver sangatlah membantu lansia dalam meningkatkah qualitas hidupnya, meningkatkan motivasi dalam menjalankan hidup Penelitian ini bertujuan Mengetahui hubungan peran Family Caregiver dalam pemenuhan qualitas hidup bagi lansia di Kelurahan Langenharjo Kabupaten Kendal. DesainPenelitianDeskriptifKorelasional menggunakan pendekatan Krosectional,tehnikSamplingStratified Simple Random Sampling dengan karakteristik heterogen, dari populasi mempunyai hak yang sama untuk diseleksi sebagai sampel teknik undianPengambilan data dengan menggunakan kuesioner yang telah diuji validitas dan reliabilitasnya. Uji statistik Chi-square, dengan taraf signifikasi 5%jumlah sampel pada penelitian ini 70 sampel pada Family Caregiver dari 213 populasi yang ada. Hasil penelitian dari 70 responden didapatkan Peran Family Caregiver tidak baik dengan qualitas hidup tidak baik 33 (47,1%), sedangkan Peran Family Caregiver kurang baik dengan qualitas hidup lansia baik 3 (4,3%). Untuk distribusi Peran Family Caregiver kurang baik dengan qualitas hidup lansia tidak baik sebanyak 6 responden (8,6%) sedangkan untuk distribusi Peran Family Caregiver kurang baik dengan qualitas hidup lansia baik sebanyak 23 responden (32,9%). Terakhir, untuk distribusi Peran Family Caregiver baik dengan qualitas hidup lansia tidak baik didapatkan hasil 2 responden (2, 9%) sedangkan untuk distribusi Peran Family Caregiver baik dengan qualitas hidup lansia baik didapatkan hasil 3 responden (4,3%)Menunjukkan nilai ρ value 0,001 (ρ < 0,05) berarti ada hubungan antara dukungan keluarga dengan kepatuhan lansia dalam keikutsertaan posyandu lansia. Disarankan kepada semua Family Cregiver lansia untuk mampu memahami pentingnya perhatian, dukungan bagi lansia dalammeningkatkan qualitas hidup yang lebih baik bagi lansia.   Kata kunci : Peran family caregiver, qualitas hidup, lansia.   ABSTRACT Placement of a good role for Family Caregiver is very helpful for the elderly to improve their quality of life, increase motivation in living life Research Objective: To know the relationship between the role of Family Caregiver in fulfilling quality of life for the elderly in Langenharjo Village, Kendal Regency. Descriptive Correlational Research Design uses a cross sectional approach, Sampling Stratified Simple Random Sampling technique with heterogeneous characteristics, from the population has the same right to be selected as a sample lottery technique Retrieving data using a questionnaire that has been tested for validity and reliability. Test Chi-square statistics, with a significance level of 5% the number of samples in this study 70 samples on the Family Caregiver from 213 populations. Results of the Study Of 70 respondents found the role of Family Caregiver was not good with poor quality of life 33 (47.1%) , while the role of the Family Caregiver is not good with the quality of life of a good elderly 3 (4.3%). For the distribution of the role of Family Caregiver is not good with the quality of life of the poor family as many as 6 respondents (8.6%) while for the distribution of the Role of Family Caregiver is not good with the quality of life of good elderly as many as 23 respondents (32.9%). Finally, the distribution of the Role of Family Caregiver with good quality of life for the poor is obtained by 2 respondents (2, 9%), while the distribution of the Role of Family Caregiver with good quality of life for the elderly is obtained by 3 respondents (4.3%). 0.001 (ρ <0.05) means that there is a relationship between family support and the compliance of the elderly in the participation of the elderly posyandu. It is recommended to all elderly Cregiver families to be able to understand the importance of attention, support for the elderly in improving the quality of life better for the elderly   Keywords: Role of Family Caregiver, Quality of Life, Elderly

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