24 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…
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…
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…
Vallivaara, Ilari, Poikselkä, Katja + 4 more
In this paper we combine the Alias method with the concept of systematic sampling, a method commonly used in particle filters for efficient low-variance resampling. The proposed method allows very fast sampling from a discrete distribution: drawing k samples is up to an order of magnitude faster than binary search from…
Bardia Panahbehagh, Raphaël Jauslin, Yves Tillé
A new unequal probability sampling method is proposed. This method is sequential. The decision to select or not each unit is made based on the order in which the units appear. A variant of this method allows to select a sample from a stream. At each step, the decision to take the units successively according to the…
Caren Hasler, Esther Eustache, Yves Tillé
Balanced sampling aims to select random samples in which the estimated totals of the auxiliary variables, weighted by the inverse of the inclusion probabilities, correspond as closely as possible to the known population totals. While several methods, such as rejective sampling, rerandomization, and the cube method…
Célia Landmann Szwarcwald
This article aimed to present an overview of national health surveys, sampling techniques, and components of statistical analysis of data collected using complex sampling designs. Briefly, surveys aimed at assessing the nutritional status of Brazilians and maternal and child health care were described. Surveys aimed at…
Giulio Barcaroli, Andrea Fasulo, Alessio Guandalini, Marco D. Terribili
'Marco D. Terribili'] R2BEAT ("R 'to' Bethel Extended Allocation for Two-stage sampling") is an R package for the allocation of a sample. Besides other software and packages dealing with the allocation problems, its peculiarity lies in facing properly allocation problems for complex sampling designs with multi-domain…
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…
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…
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.…
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…
Henrique Bravo, Yacine Ben Chehida, Sancia E.T. van der Meij
Species’ occurrence rates are the backbone of many ecological studies. Sampling of species occurrence, however, can come with challenges and might prove more difficult than anticipated. Logistical difficulties, limited funds or time, elusiveness or rarity of species and difficult sampling environments are all examples…
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…
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…
Uriah Daugaard, Stefanie Merkli, Ewa Merz, Francesco Pomati + 1 more
Facing climate change and biodiversity loss, it is critical that ecology advances so that processes, such as species interactions and dynamics, can be correctly estimated and skillfully forecasted. As different processes occur on different time scales, the sampling frequency used to record them should intuitively match…
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…
Tamara Schenekar, Janine Baxter, Irmgard Sedlmayr, Julia Gladitsch + 2 more
Applying environmental DNA (eDNA) metabarcoding to samples from waterholes and their surroundings offers a promising approach for monitoring terrestrial vertebrates in semi-arid and arid ecosystems, such as the southern African savannas. However, minimal guidance exists on key sampling design parameters for terrestrial…
F Mulvey John, Lundby Alicia
Performing assays on large numbers of samples requires their analysis in distinct batches, which commonly affects the measurements made in a systematic way. Analytical approaches can correct for such batch effects, however for this to be possible the batch should not be confounded with either the independent variable…
Martin Papenberg, Cheng Wang, Maïgane Diop, Syed Hassan Bukhari + 13 more
High throughput sequencing is a powerful tool for processing large amounts of DNA and RNA samples in batches. Proper experimental design and statistical methods are required to mitigate systematic technical factors due to differences in batches (“batch effects”), as data variation due to these non-biological factors…
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…
Jenny P. Berrío, Otto Kalliokoski
Systematic reviews are considered by many to constitute the highest level of scientific evidence. A caveat is that the methods used in a systematic review – combining information from multiple studies – are predicated on all of the reports being truthful. Currently, we do not know how frequent fraudulent studies are in…
Feng Feng, Zhenru Chen, Jianyuan Ni, Yuanxun Zhang + 3 more
Drinking water is essential to public health and socioeconomic growth. Therefore, assessing and ensuring drinking water supply is a critical task in modern society. Conventional approaches to analyzing and controlling drinking water quality are labor-intensive and costly with a low throughput. Machine learning (ML) is…