scholarly journals A note on optimum allocation in multivariate stratified sampling

2003 ◽  
Vol 21 (1) ◽  
pp. 91 ◽  
Author(s):  
M. G. M. Khan ◽  
M. J. Ahsan
Keyword(s):  
Dynamic Programming ◽  
Random Sampling ◽  
Decision Problem ◽  
Stratified Random Sampling ◽  
Nonlinear Programming Problem ◽  
Programming Technique ◽  
Population Means ◽  
Compromise Allocation ◽  
Multivariate Stratified Sampling ◽  
Sampling Cost

In stratified random sampling when several characteristics are to be estimated simultaneously, an allocation that is optimum for one characteristic may be far away from optimum for others. To resolve this conflict the authors formulate the problem of determining optimum compromise allocation as a nonlinear programming problem (NLPP). The allocation obtained is optimum in the sense that it minimizes the sum of weighted variances of the estimated population means of the characteristics subject to a fixed sampling cost. The formulated NLPP is treated as multistage decision problem and solved using dynamic programming technique. A numerical example is presented to illustrate the computational details.

The Effectiveness of Simple and Stratified Random Sampling in Broadcast News Content Analysis

1996 ◽  
Vol 73 (1) ◽  
pp. 159-168 ◽  
Author(s):  
Daniel Riffe ◽  
Stephen Lacy ◽  
Jason Nagovan ◽  
Larry Burkum
Keyword(s):  
Content Analysis ◽  
Random Sampling ◽  
Television News ◽  
Stratified Sampling ◽  
Efficient Technique ◽  
Standard Errors ◽  
Stratified Random Sampling ◽  
Broadcast News ◽  
Population Means ◽  
Content Analyses

A comparison of simple random, monthly stratified and quarterly/weekly stratified sampling in content analyses of television news used annual “populations” of network newscasts. Different samples were drawn and sample statistics compared with annual parameters. Based on percentages of samples that included population means within one or two standard errors, the most efficient technique was two random days per month.

scholarly journals Dynamic Recommendation of Substitute Locations for Inaccessible Soil Samples during Field Sampling Campaign

2019 ◽  
Vol 8 (3) ◽  
pp. 127 ◽  
Author(s):  
Fang-He Zhao ◽  
Cheng-Zhi Qin ◽  
Teng-Fei Wei ◽  
Tian-Wu Ma ◽  
Feng Qi ◽  
...  
Keyword(s):  
Random Sampling ◽  
Sampling Strategy ◽  
Soil Mapping ◽  
Prototype System ◽  
Stratified Random Sampling ◽  
Field Sampling ◽  
Purposive Sampling ◽  
Sampling Campaign ◽  
Suitability Index ◽  
Sampling Cost

Field sampling is an important way of collecting soil information for the modeling and evaluation steps during digital soil mapping (DSM). However, some predesigned samples may not be accessible in the field due to natural or anthropogenic reasons. Simply abandoning the inaccessible samples or casually selecting substitutes from other locations may affect the quality of the corresponding DSM. To address this issue, we propose a new method of dynamically recommending substitute locations for inaccessible samples, which was implemented in a prototype system on a smart phone platform. The proposed method takes into concern the original sampling strategy and recommends substitute sample locations based on a measure of suitability index. The suitability index is calculated to incorporate a substitutive degree as well as the sampling cost involved. The substitutive degree depicts to what extent a substitute location may replace the original sample in the context of soil mapping, while the sampling cost characterizes the travel expense to the substitute location following the overall fieldwork route arrangements. The proposed method currently supports four commonly used sampling strategies, i.e., simple random sampling, stratified random sampling, grid sampling, and purposive sampling based on environmental similarity. Two substitute sampling scenarios, instant sampling and subsequent sampling, are considered by the proposed method, to adapt to surveyors’ actual field sampling route arrangements when estimating the accessibility and sampling cost of potential substitute locations. Monte Carlo simulation experiments in a study area (about 5800 km2) located in Anhui province of China were conducted to use the proposed method to recommend substitute locations for two modeling sample sets designed based on purposive sampling strategy and stratified random sampling strategy respectively (59 points for each set) from other 224 previously obtained samples. Experimental results evaluated based on 57 independent evaluation samples showed that the proposed method was able to recommend substitute locations without affecting the performance of DSM, when less than 10% samples were replaced by substitute samples. A subsequent sampling scenario was revealed to incur lower sampling cost than an instant sampling scenario.

New Mathematical Strategy Using Branch and Bound Method

2017 ◽  
Vol 08 (02) ◽  
pp. 1750005
Author(s):  
Tanveer Ahmad Tarray ◽  
Muzafar Rasool Bhat
Keyword(s):  
Nonlinear Programming ◽  
Programming Problem ◽  
Branch And Bound ◽  
Random Sampling ◽  
Optimal Allocation ◽  
Stratified Random Sampling ◽  
Branch And Bound Method ◽  
Nonlinear Programming Problem

In this paper, the problem of optimal allocation in stratified random sampling is used in the presence of nonresponse. The problem is formulated as a nonlinear programming problem (NLPP) and is solved using Branch and Bound method. Also the results are formulated through LINGO.

Faktor-Faktor Yang Mempengaruhi Keputusan Mahasiswa Memilih Program Studi Kebidanan STIKES Muhammadiyah Ciamis Tahun 2016

2018 ◽  
Vol 5 (1) ◽  
pp. 69-82
Author(s):  
Evi Mariana
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Random Sampling ◽  
Sampling Method ◽  
Marketing Mix ◽  
Stratified Random Sampling ◽  
Price Promotion ◽  
F Test ◽  
Physical Evidence

The purpose of this study was to analyze the factors that influence the decisionof the students chose to study in Obstetrics Prodi STIKES Muhammadiyah Ciamis and analyze the factors that most influence the decision of the students chose to study in Obstetrics Prodi STIKES Muhammadiyah Ciamis. Collecting data in this study was conducted using a survey by questionnaire to 114 students by stratified random sampling method. Methods of data analysis using multiple linear regression, F test and test T. The result is a marketing mix that significantly is the product, place, and physical evidence. And that does not affect the marketing mix is price, promotion, place, and processes

THE DESCRIPTION OF AVAILABILITY OF CLEAN WATER IN JORONG PALUPUAH PASIA LAWEH, WEST SUMATRA

2020 ◽  
Vol 6 (1) ◽  
pp. 86-91
Author(s):  
DESSY ANGRAINI ◽  
Iza Ayu Saufani
Keyword(s):  
Sustainable Development ◽  
Random Sampling ◽  
Sustainable Development Goals ◽  
Stratified Random Sampling ◽  
Clean Water ◽  
Cross Sectional ◽  
Millenium Development Goals ◽  
West Sumatra ◽  
Development Goals

Era SDGs (sustainable development goals) merupakan kelanjutan program MDGs (Millenium Development Goals) memiliki tujuan bersama yang universal untuk memelihara keseimbangan tiga dimensi pembangunan yang berkelanjutan, salah satu tujuannya adalah menjamin ketersediaan air bersih dan sanitasi yang berkelanjutan untuk semua orang. Pentingnya ketersediaan air bersih bagi kehidupan masyarakat dapat memberikan pengaruh penting terhadap kesehatan masyarakat,sehingga air yang digunakan untuk keperluan sehari-hari kualitasnya harus memenuhi standar baku mutu kesehatan lingkungan dan persyaratan kesehatan air. Berdasarkan informasi wali jorong palupuah mengatakan bahwa sumber air yang digunakan oleh warga untuk kebutuhan sehari-hari secara fisik berwarna, terdapat endapan pada penampungan air, dan belum pernah diuji keamananya.Penelitian ini bertujuan untuk mengetahui gambaran ketersediaanair bersih di Jorong Palupuah Nagari Pasia Laweh KabupatenAgam.Penelitian ini merupakan penelitian observasional survey dengan rancangan penelitian cross sectional. Populasi dalam penelitian ini adalah semua rumah tangga yang berada di Jorong Palupuah Nagari Pasia Laweh Kabupaten Agam, Sumatera Barat. Sampel penelitian berjumlah 74 KK ditentukan dengan teknik proportionate stratified random sampling dan analisis data dilakukan dengan univariate. Hasil penelitian menunjukkan bahwa karakteristik responden di jorong Palupuah Nagari Pasia Laweh Kabupaten Agam, Sumatera Barat mayoritas berusia 25-45 tahun dengan tingkat pendidikan terakhir adalah tamat SMA. Berdasarkan hasil survey rata-rata jumlah anggota keluarga di jorong Palupuah berjumlah 3 orang (32,4%), dan mayoritas responden bekerja sebagai IRT dengan tingkat penghasilan keluarga rata-rata Rp.1.500.000.Terdapat lima sumber air baku utama yang dijadikan sebagai sumber air bersih oleh masyarakat jorong dan sebagian besar sumber air yang digunakan berasal dari sumber mata air (71.8%). Selain itu, masih ada sebagian masyarakat yang mengeluhkan penyaluran air yang tidak lancar (35,1%). Serta masih ada 41.9% yang mengatakan tidak mudah mendapatkan air bersih. Kualitas air bersih yang disalurkan di Jorong Palupuah termasuk dalam kategori baik. Namun, sebagian besar masyarakat tidak menggunakan PDAM dan sumber air yang digunakan sangat tidak menunjang untuk dikonsumsi.

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