How Do I Manage the Sampling Process?

2019 ◽  
pp. 827-894
Author(s):  
Ray Cooksey ◽  
Gael McDonald
Keyword(s):  
Sampling Process

Pengaruh Citra Merek, Kualitas Produk Dan Harga Terhadap Kepuasan Konsumen Pada Bisnis Franchise Minuman

2017 ◽  
Vol 24 (2) ◽  
pp. 144-153
Author(s):  
Yunita Fitri Wahyuningtyas
Keyword(s):  
Regression Analysis ◽  
Marketing Strategy ◽  
Product Quality ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Sampling Method ◽  
Sampling Technique ◽  
Sampling Process ◽  
And Function ◽  
Simultaneous Influence

This research is conducted upon the emergence of many companies producing the same product of the same kind and function. It leads to the urgency of proper and well planned marketing strategy. This research aims to investigate how far the influence of branding, product quality, and price toward consumer’s satisfaction in beverage franchise business. This research utilizes 5 likert scale questionnaire which is tested by using multiple regression analysis to reveal whether or not there is partial and simultaneous influence of branding, product quality, and price toward consumer’s satisfaction in beverage franchise business. Sampling method is accidental sampling technique, in which sample of particular population is taken based on the accessibility and availability of the sample during the sampling process. Sample used is 100 samples among consumers or customers of Mang Endy Milkshake. The result shows that branding, product quality, and price influence consumer’s satisfaction in beverage franchise business.

scholarly journals NMR Protein Structure Calculation and Sphere Intersections

2020 ◽  
Vol 8 (1) ◽  
pp. 89-101
Author(s):  
Carlile Lavor ◽  
Rafael Alves ◽  
Michael Souza ◽  
Luis Aragón José
Keyword(s):  
Protein Structures ◽  
Structure Calculation ◽  
Bp Algorithm ◽  
Main Step ◽  
Combinatorial Method ◽  
Nmr Data ◽  
Sampling Process ◽  
Protein Molecules ◽  
Protein Structure Calculation ◽  
Branch And Prune

AbstractNuclear Magnetic Resonance (NMR) experiments can be used to calculate 3D protein structures and geometric properties of protein molecules allow us to solve the problem iteratively using a combinatorial method, called Branch-and-Prune (BP). The main step of BP algorithm is to intersect three spheres centered at the positions for atoms i − 3, i − 2, i − 1, with radii given by the atomic distances di−3,i, di−2,i, di−1,i, respectively, to obtain the position for atom i. Because of uncertainty in NMR data, some of the distances di−3,i should be represented as interval distances [{\underline{d}_{i - 3,i}},{\bar d_{i - 3,i}}], where {\underline{d}_{i - 3,i}} \le {d_{i - 3,i}} \le {\bar d_{i - 3,i}}. In the literature, an extension of the BP algorithm was proposed to deal with interval distances, where the idea is to sample values from [{\underline{d}_{i - 3,i}},{\bar d_{i - 3,i}}]. We present a new method, based on conformal geometric algebra, to reduce the size of [{\underline{d}_{i - 3,i}},{\bar d_{i - 3,i}}], before the sampling process. We also compare it with another approach proposed in the literature.

Population Dynamics of major Mangrove species in the Sundarbans, Bangladesh

2019 ◽  
Vol 42 (4) ◽  
pp. 317-322
Author(s):  
Asm Helal Siddqui ◽  
◽  
Akramul Islam ◽  
Keyword(s):  
Population Dynamics ◽  
Growth Dynamics ◽  
Forest Research Institute ◽  
Forest Research ◽  
Mangrove Species ◽  
Permanent Sample Plots ◽  
Sampling Process ◽  
Multistage Sampling ◽  
The Sundarbans ◽  
Saline Zone

Growth dynamics of major mangrove species in three salinity zones of the Sundarbans was conducted by establishing permanent sample plots (PSPS) by the Mangrove Silviculture Division of the Bangladesh Forest Research Institute. Multistage sampling process was applied to collect data from 33 Permanent Sample Plots (PSPs), area of each PSP being 400 m2. Total number of seedlingh, saplings in each saline zone and total regeneration percentage of each species in the PSPs was worked out.

scholarly journals Simulation of the Steel Sampling Process

2010 ◽  
Vol 50 (12) ◽  
pp. 1746-1755 ◽  
Author(s):  
Zhi Zhang ◽  
Anders Tilliander ◽  
Andrey Karasev ◽  
Pär G. Jönsson
Keyword(s):  
Sampling Process

Estimating Rates and Probabilities of Origination and Extinction Using Taxonomic Occurrence Data: Capture-Mark-Recapture (CMR) Approaches

2010 ◽  
Vol 16 ◽  
pp. 81-94 ◽  
Author(s):  
Lee Hsiang Liow ◽  
James D. Nichols
Keyword(s):  
Simultaneous Estimation ◽  
Mark Recapture ◽  
Sampling Process ◽  
Occurrence Data ◽  
Geographical Regions ◽  
Underlying Causes ◽  
Inherent Problem ◽  
Sampling Probability ◽  
Shed Light ◽  
Replicate Sampling

We rely on observations of occurrences of fossils to infer the rates and timings of origination and extinction of taxa. These estimates can then be used to shed light on questions such as whether extinction and origination rates have been higher or lower at different times in earth history or in different geographical regions, etc. and to investigate the possible underlying causes of varying rates. An inherent problem in inference using occurrence data is one of incompleteness of sampling. Even if a taxon is present at a given time and place, we are guaranteed to detect or sample it less than 100% of the time we search in a random outcrop or sediment sample that should contain it, either because it was not preserved, it was preserved but then eroded, or because we simply did not find it. Capture-mark-recapture (CMR) methods rely on replicate sampling to allow for the simultaneous estimation of sampling probability and the parameters of interest (e.g. extinction, origination, occupancy, diversity). Here, we introduce the philosophy of CMR approaches especially as applicable to paleontological data and questions. The use of CMR is in its infancy in paleobiological applications, but the handful of studies that have used it demonstrate its utility and generality. We discuss why the use of CMR has not matched its development in other fields, such as in population ecology, as well as the importance of modelling the sampling process and estimating sampling probabilities. In addition, we suggest some potential avenues for the development of CMR applications in paleobiology.

scholarly journals Development of passive sampler POCIS for the analysis of polar pesticides in surface water

2015 ◽  
Vol 18 (2) ◽  
pp. 132-144
Author(s):  
Trang Thi Nhu Tran ◽  
Ty Thi Pham ◽  
Hai Lam Son Truong
Keyword(s):  
Surface Water ◽  
Environmental Factors ◽  
Pesticide Residues ◽  
Passive Sampling ◽  
Sampling Method ◽  
Passive Sampler ◽  
Polar Pesticides ◽  
Sampling Process ◽  
European Standards ◽  
First Time

The first time in Vietnam a passive sampling method has been developed to analyse the polar pesticides in surface water. The initial investigations of POCIS were performed for 7 polar pesticides as simazine,thiodicarb, carbofuran, chlortoluron, atrazine, isoproturon, and diuron. We determined the sampling rates RS for these substances ranged from 0.369 to 0.962 L day- 1. The obtained values of ku and RS showed the important influence of environmental factors such as flow on the ability to integrate polar pesticides in passive sampling process. This method can be applied to determine these 7 polar pesticides in surface water at trace levels according to European standards for pesticide residues in water (< 0.1 μg L-1).

scholarly journals Random Fourier Features via Fast Surrogate Leverage Weighted Sampling

2020 ◽  
Vol 34 (04) ◽  
pp. 4844-4851
Author(s):  
Fanghui Liu ◽  
Xiaolin Huang ◽  
Yudong Chen ◽  
Jie Yang ◽  
Johan Suykens
Keyword(s):  
State Of The Art ◽  
Sampling Strategy ◽  
Prediction Performance ◽  
Current State ◽  
Kernel Approximation ◽  
Sampling Process ◽  
New Strategy ◽  
The Matrix ◽  
Benchmark Datasets ◽  
Random Fourier Features

In this paper, we propose a fast surrogate leverage weighted sampling strategy to generate refined random Fourier features for kernel approximation. Compared to the current state-of-the-art method that uses the leverage weighted scheme (Li et al. 2019), our new strategy is simpler and more effective. It uses kernel alignment to guide the sampling process and it can avoid the matrix inversion operator when we compute the leverage function. Given n observations and s random features, our strategy can reduce the time complexity for sampling from O(ns2+s3) to O(ns2), while achieving comparable (or even slightly better) prediction performance when applied to kernel ridge regression (KRR). In addition, we provide theoretical guarantees on the generalization performance of our approach, and in particular characterize the number of random features required to achieve statistical guarantees in KRR. Experiments on several benchmark datasets demonstrate that our algorithm achieves comparable prediction performance and takes less time cost when compared to (Li et al. 2019).

scholarly journals Improvement of Work Capacity with Welfare of Apparatus and Work Facilities and Their Impact on Performance

2021 ◽  
Author(s):  
M Chairul Basrun Umanailo
Keyword(s):  
Linear Regression ◽  
Data Collection ◽  
Multiple Linear Regression ◽  
Sampling Technique ◽  
Work Capacity ◽  
Systematic Sampling ◽  
Causal Association ◽  
The West ◽  
Sampling Process ◽  
Work Capability

This study's intended objective is to evaluate the effect of the work capability on the welfare of the apparatus and work facilities and its impact on the efficiency of the Mamuju police force in the province of West Sulawesi. This study uses a causal research design that illustrates a causal or causal association in the variables examined and used a quantitative approach. In this report, all the Mamuju Police staff, the West Sulawesi Province, were as many as 95. The sampling technique was a non?probability sampling process of systematic sampling, which implies that the samples were taken according to the order of the counted population members. Data collection was carried out by observation, distribution of questionnaires, interviews, and documentation. This review analyses and processes data with multiple linear regression using SPSS ver. 25. All the hypotheses suggested in this study are acceptable. The variables of the level of welfare and work facilities are critical variables that can influence staff's workability to enhance their performance. The story of welfare is necessary to inspire workers to function more efficiently; the more affluent the team, the more likely they are to increase their efficiency. Work facilities indicate that the types of facilities given by the company have facilitated an improvement in officers' efficiency, that the needs of the apparatus provide an appropriate standard of facilities, not just to facilitate their work, but also to promote satisfaction and ease of work.

scholarly journals Compressed sensing with continuous parametric reconstruction

2021 ◽  
Vol 11 (1) ◽  
pp. 851
Author(s):  
Imrich Andras ◽  
Linus Michaeli ◽  
Jan Saliga
Keyword(s):  
Signal Reconstruction ◽  
Sampling Rate ◽  
Quality Monitoring ◽  
Wireless Sensor ◽  
Model Parameters ◽  
Sampling Process ◽  
Continuous Approach ◽  
Continuous Models ◽  
Stable Performance ◽  
Unconventional Method

This work presents a novel unconventional method of signal reconstruction after compressive sensing. Instead of usual matrices, continuous models are used to describe both the sampling process and acquired signal. Reconstruction is performed by finding suitable values of model parameters in order to obtain the most probable fit. A continuous approach allows more precise modelling of physical sampling circuitry and signal reconstruction at arbitrary sampling rate. Application of this method is demonstrated using a wireless sensor network used for freshwater quality monitoring. Results show that the proposed method is more robust and offers stable performance when the samples are noisy or otherwise distorted.

scholarly journals Theoretical sampling process in a Straussian Grounded Theory study

2021 ◽  
Vol 55 ◽  
Author(s):  
Mayckel da Silva Barreto ◽  
Bruna Sodré Simon ◽  
Veronica Francisqueti Marquete ◽  
Rebeca Rosa de Souza ◽  
Nara Marilene Oliveira Girardon-Perlini ◽  
...  
Keyword(s):  
Grounded Theory ◽  
Comparative Method ◽  
Field Research ◽  
Substantive Theory ◽  
Grounded Theory Study ◽  
Sampling Process ◽  
Constant Comparative Method ◽  
The Family ◽  
Theoretical Sampling ◽  
Depth Study

ABSTRACT Objetive: Describing the theoretical sampling process in the development of a Grounded Theory based on the Straussian strand. The objective of the field research, used as an example, was to develop a substantive theory, based on the theoretical framework of Symbolic Interactionism, about the perceptions and experiences of patients, family members, and health professionals regarding the presence of the family during emergency care. Method: In the theoretical sampling, 42 participants were recruited, divided into nine sample groups, constituted based on the constant comparative method. Results: The description of this example allowed to identify how theoretical sampling guided data collection, which occurred through the in-depth study of concepts and the search for answers to questions arising from the data. Final Considerations: It is expected that the readers find subsidies to understand how theoretical sampling is conducted in a Grounded Theory study, based on the Straussian strand, and thus be able to apply it.

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