25 papers · ranked by Valyu relevance
Jae Kwang Kim
This textbook on survey sampling has its origins in a set of lecture notes prepared for a course on survey sampling at Iowa State University. Over the years, these notes have been refined and expanded into the comprehensive volume you now hold. It is designed to serve both as an introductory text for students and as a…
Nazia Shaheen, Muhammad Nouman Qureshi, Osama Abdulaziz Alamri, Muhammad Hanif + 1 more
'Muhammad Hanif' 'Qichun Zhang'] In this article, we have proposed a generalized estimator for mean estimation by combining the ratio and regression methods of estimation in the presence of auxiliary information using systematic sampling. We incorporated some robust parameters of the auxiliary variable to obtain…
Muhammad Azeem, Sundus Hussain, Musarrat Ijaz, Najma Salahuddin + 1 more
'Abdul Salam'] In survey sampling, systematic sampling design has attracted survey researchers in recent years due to its simplicity of use. We introduce a modified variant of systematic sampling scheme which improves the efficiency of a recently developed diagonal systematic sampling method. The suggested modification…
Hemant Verma, R. D. Singh, Rajesh Singh
In this paper we have proposed a general class of modified regression type estimator in systematic sampling under non-response to estimate the population mean using auxiliary information. The expressions of bias and mean square error (MSE) up to the first order approximations are derived. A numerical study is included…
Muhammad Azeem, Sheetal Kalyani
Systematic sampling is one of the simplest and popular methods for selecting a random sample from a finite population. The diagonal systematic sampling scheme is a type of systematic sampling design which has gained the attention of researchers during the last two decades. In this paper, a modification to the…
Rajesh Singh, Sachin Malik, Viplav K. Singh
In this paper we have adapted Bahl and Tuteja (1991) estimator in systematic sampling using auxiliary information. Using Bedi (1996) transformation an improved estimator is also proposed under systematic sampling. The expressions of bias and mean square error up to the first order of approximation are derived. It has…
Richard McGarvey, Paul Burch, Janet M. Matthews
Monitoring the density of natural populations is crucial for ecosystem management decision making and natural resource management. The most widely used method to measure the population density of animal and plant species in natural habitats is to count organisms in sample plots. Yet evaluation of survey performance by…
Manoj Kr. Chaudhary, Sachin Malik, Jayant Singh, Rajesh Singh
This paper proposes a general family of estimators for estimating the population mean in systematic sampling in the presence of non-response adapting the family of estimators proposed by Khoshnevisan et al. (2007). In this paper we have discussed the general properties of the proposed family including optimum property.…
Indiran Govender, Langalibalele H. Mabuza, Gboyega A. Ogunbanjo, Bob Mash
'Bob Mash'] The aim of this article is to provide practical guidance on conducting surveys and the use of questionnaires for postgraduate students at a Masters level who are undertaking primary care research. The article is intended to assist with writing the methods section of the research proposal and thinking…
Chad Babcock, Andrew O. Finley, Timothy G. Grégoire, Hans‐Erik Andersen
'Hans‐Erik Andersen'] Systematic sampling is often used to select plot locations for forest inventory estimation. However, it is not possible to derive a design-unbiased variance estimator for a systematic sample using one random start. As a result, many forest inventory analysts resort to applying variance estimators…
Rajesh Singh, Florentín Smarandache
- 1. Use of auxiliary information for estimating population mean in systematic sampling under non- response - 2. Some improved estimators of population mean using information on two auxiliary attributes - 3. Study of some improved ratio type estimators under second order approximation - 4. Improvement in estimating the…
Matthieu Wilhelm, Yves Tillé, Lionel Qualité
A specific family of point processes are introduced that allow to select samples for the purpose of estimating the mean or the integral of a function of a real variable. These processes, called quasi-systematic processes, depend on a tuning parameter r > 0 that permits to control the likeliness of jointly selecting…
Authors not listed
Accurate and efficient calculation of alchemical free energies is a critical challenge in computational chemistry, frequently hindered by the inherent limitations of conventional Thermodynamic Integration (TI) methods. These limitations include poor phasespace overlap between discrete alchemical states, inefficient…
Christian Damgaard
When estimating plant species abundance using plot-based methods in irregular polygons, there are some constraints to the spatial configuration of the sampling plots: i) the sample plots must be positioned within the polygon, ii) the sample plots may not overlap, iii) due to the spatial variation in abundance often…
Larissa Bianchini, Aline Braz Pereira, Bruno Martins Tomazini, Cássia Righy + 6 more
Use of surveys in clinical research allows investigators to explore stakeholders’ perspectives, measure implementation of interventions, and inform future decision-making. Surveys are versatile and accessible, but they require methodological rigor to yield adequate results. Their development involves a sequence of…
Greg R. Guerin, Kristen J. Williams, Ben Sparrow, Andrew J. Lowe
Field-based sampling of terrestrial habitats at continental scales is required to build ecosystem observation networks. However, a key challenge for detecting change in ecosystem composition, structure and function is to obtain a representative sample of habitats. Representative sampling contributes to ecological…
Authors not listed
Persistent and mobile chemicals (PMs) threaten groundwater quality and drinking-water safety, yet many remain undetected because analytical methods insufficiently address to highly polar and ionic substances, while regulatory frameworks lack monitoring requirements for these compound classes. Here, we developed a…
Haoyang Lu, Hang Zhang, Li Yi
Efficient information sampling is crucial for human inference and decision-making, even for young children. Information sampling is also closely associated with the core symptoms of autism spectrum disorder (ASD), since both the social interaction difficulties and repetitive behaviors suggest that autistic people may…
Martijn J. Schuemie, Fan Bu, Akihiko Nishimura, Marc A. Suchard
Post-approval safety surveillance of medical products using observational healthcare data can help identify safety issues beyond those found in pre-approval trials. When testing sequentially as data accrue, maximum sequential probability ratio testing (MaxSPRT) is a common approach to maintaining nominal type 1 error.…
Yuji Kaiya, Ryo Tamura, Koji Tsuda
Kinetic models are widely used in simulating the relationship between the input space and the outcome space of a chemical process. Ignoring the computational cost, complete profiling, i.e., performing simulation at all grid points in the input space, would be the best way to understand the model, because it provides us…
Hongli Jiang, S. Hessam M. Mehr
The availability, portability, and low cost of electronic devices have made them a prime candidate for the rapid detection of chemical particles. Here we designed a chemical particle detection system based on a Raspberry Pi camera to detect micron droplets generated by ultrasonic atomizers. Through the analysis of…
Sarah Chambliss, Carlos Pinon, Kyle Messier, Brian LaFranchi + 5 more
Disparity in air pollution exposure arises from variation at multiple spatial scales: along urbanto-rural gradients, between individual cities within a metropolitan region, within individual neighborhoods, and between city blocks. Here, we improve on existing capabilities to systematically compare urban variation at…
Authors not listed
Developing generalizable machine learning models with minimal data remains a central challenge in materials informatics. Effective models can significantly reduce costly computational simulations and time-intensive experimentation by providing reliable predictions of material properties. In this work, we investigate…
Muhammad Asif Alimuddin, Paul Richardson, Wei Wang, Brandon Phung + 1 more
We describe a simple, effective, and automated method that tolerates heterogeneous sample analysis on liquid chromatography mass spectrometer (LCMS) systems without any sample manipulation. This was developed to mitigate the inconsistent sample preparations that often arise when LCMS systems are operated in a…
Sabrine Drira, Frida Ben Rais Lasram, Tarek Hattab, Yunne Jai Shin + 2 more
Species distribution models (SDMs) have been proposed as a way to provide robust inference about species-specific sites suitabilities, and have been increasingly used in systematic conservation planning (SCP) applications. However, despite the fact that the use of SDMs in SCP may raise some potential issues…