The sampling framework used in this study
Types of non-probabilistic sampling used in marketing research. „Snowball” sampling
... non-probabilistic sampling methods may provide relevant and valuable information about the consumers’ wishes, about their expression ways (wishes related to existing products and future wishes as well) and the ...
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Can reactivity to experience sampling be used to decrease alexithymia
... applications and programs that provide accompanying exercises and how they can profit from reactivity effects. Most of the studies that reported a positive effect on alexithymia and emotional reflection featured such ...
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Plot sizes used for phytosociological sampling of European vegetation
... sizes used by European phytosociolo- ...be used to study plant communities and different patterns can be recog- nized at different scales (Allen & Starr 1982; Allen & Hoekstra 1992; Levin ...
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GENERAL FRAMEWORK FOR CONSISTENT SAMPLING IN HILBERT SPACES
... broader framework that does not require S and W to be finite- dimensional spaces, but rather can be applied to arbitrary infinite-dimensional sub- spaces of an arbitrary Hilbert space H such that H = W ⊕ S ⊥ ...
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A framework of performance indicators used in the governance of logistics platforms: the multiple-case study
... a framework of performance indicators that could be used in the governance of logistics platforms based on bibliographical research on performance indicators in the business environment and logistics ...
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A Framework for Cut-off Sampling in Business Survey Design
... A Framework for Cut-off Sampling in Business Survey Design Roberto Benedetti 1 , Marco Bee 2 , and Giuseppe Espa 3 In sampling theory skewed distributions of many of the survey variables in a ...
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A Framework For Parallelizing Sampling-Based Motion Planning Algorithms
... Devaurs et.al takes a different approach describing three different schemes which make use of message passing between processors to construct the RRT. The first has each pro- cessor generate an RRT until one of the ...
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An Intelligent Sampling Framework for Controlled Experimentation and QoE Modeling
... uniform sampling, thus forming our ground ...uncertainty sampling and show its capacity to reduce the training cost by an order of ...active sampling picks samples with the maximum uncertainty, the ...
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A Sampling-Based Framework for Parallel Mining Frequent Patterns
... r ecursive dynamic load balancing, which is a protocol to allow an idle processor to join the busy ones. Different from the Par-CSP algorithm proposed in this paper, pSPADE is targeting a shared-memory system. In a ...
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Comparison of Sampling Methods Used to Evaluate Forest Soil Bulk Density
... Apart from the conventional methods, modern methods such as computed tomography and nuclear moisture and density gauge have been introduced to forest soil bulk density measurements (Petrovic et al. 1982, Timm et al. ...
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Uniform Sampling Framework for Sampling Based Motion Planning and Its Applications to Robotics and Protein Ligand Binding
... Table 4.6 shows the average results in the heterogeneous environment (Figure 4.16(a)) for both a rigid body and a 4-link linkage robot by using different sampling methods with various parameters to solve the ...
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Decision-making Framework for Used Industrial Equipment
... of study is ...current framework. When OEE ≥ 60 %, the used industrial equipment is continuing the cycle of maintenance and waiting for the next assessment ...proposed framework is hidden in ...
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Sampling molecular conformations and dynamics in a multiuser virtual reality framework
... of study (for ex- ample, molecules) are invisible to the naked eye, and their behavior is governed by physical forces and interactions significantly different from those forces and interactions that we encounter ...
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Key stage 2 science sampling test framework (draft)
... the sampling test in order to assess these elements. The test framework will be expanded before the performance assessments are ...of study has been assigned to one of the three core areas of ...
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A Scalable Framework for Parallelizing Sampling-Based Motion Planning Algorithms
... (a) Free (b) 3D Clutter (c) 2D Clutter (d) Maze Figure 8.2: Environments For most of the metrics, we observed that the parallel roadmap graph is at par with the sequential roadmap graph. The parallel graph has more edges ...
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A Personalised Ranking Framework with Multiple Sampling Criteria for Venue Recommendation
... is used to generate the ranked list of venues of in- terest to a user, by leveraging the user’s implicit feedback such as their check-ins as instances of positive feedback, while randomly sampling other ...
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ON THE EVALUATION OF NON PROBABILITY SAMPLING AND LOGISTIC REGRESSION MODEL USED IN DRUG ADDICTION
... purposive sampling, Logistic Regression Model), Results and Analysis, Summary and ...have used a probability-sampling ...non-probability sampling methods might be an acceptable alternative, at ...
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On formation-based sampling proxies and why they should not be used to correct the fossil record
... true sampling. We also show that all sampling proxies perform better at higher levels of sam- ...for sampling bias in the fossil record, but only if the correct sampling proxy is used ...
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Multi stage sampling procedure was used to sample 80% of the participants of the programme i.e
... This study assessed beneficiaries’ perception of the University of Nigeria, Nsukka West Africa Agricultural Productivity Programme activities in Enugu ...The study sought to ascertain participants' ...
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Chapter III. Method. sampling procedures employed, the tests used, the procedure for data
... tests used in the present study have been taken from the NIMHANS neuropsychological ...extensively used in researches on neuropsychological performances of a wide variety of groups including normal ...
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