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Journal articles on the topic 'Methods of selecting'

Author: Grafiati

Published: 4 June 2021

Last updated: 4 February 2022

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1

Saqib, Zunaira, Maria Khan, Nihaal Raza, Zainab Sohail, and Aliha Zainab. "Selecting the Selection Methods at a Pakistani NGO." Asian Journal of Management Cases 13, no. 1 (February 11, 2016): 23–31. http://dx.doi.org/10.1177/0972820115618780.

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Brinkman, Paul T., and Deborah J. Teeter. "Methods for selecting comparison groups." New Directions for Institutional Research 1987, no. 53 (1987): 5–23. http://dx.doi.org/10.1002/ir.37019875303.

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Fedorov, Valerii V., Agnes M. Herzberg, and Sergei L. Leonov. "Methods of Selecting Informative Variables." Biometrical Journal 48, no. 1 (February 2006): 157–73. http://dx.doi.org/10.1002/bimj.200410146.

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4

Panacek, Edward A., and Cheryl Bagley Thompson. "Sampling methods: Selecting your subjects." Air Medical Journal 26, no. 2 (March 2007): 75–78. http://dx.doi.org/10.1016/j.amj.2007.01.001.

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Sleptsova, Y. A. "Methods of selecting antirisk controlling actions." St. Petersburg State Polytechnical University Journal. Economics 233, no. 6 (January 2016): 222–32. http://dx.doi.org/10.5862/je.233.23.

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ACIKEL, Cengiz, and Selim KILIC. "SELECTING STATISTICAL METHODS IN MEDICAL RESEARCHES." TAF Preventive Medicine Bulletin 3, no. 7 (2004): 162. http://dx.doi.org/10.5455/pmb.20040307162.

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Maiden, N. A. M., and G. Rugg. "ACRE: selecting methods for requirements acquisition." Software Engineering Journal 11, no. 3 (1996): 183. http://dx.doi.org/10.1049/sej.1996.0024.

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Streicher, Robert P., Christopher M. Reh, Rosa Key-Schwartz, Paul C. Schlecht, Mary Ellen Cassinelli, and Paula Fey O'Connor. "Selecting Isocyanate Sampling and Analytical Methods." Applied Occupational and Environmental Hygiene 17, no. 3 (March 2002): 157–62. http://dx.doi.org/10.1080/104732202753438234.

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Willis, H. L., H. Tram, M. V. Engel, and L. Finley. "Selecting and applying distribution optimization methods." IEEE Computer Applications in Power 9, no. 1 (1996): 12–17. http://dx.doi.org/10.1109/67.475954.

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Keitel, Holger, Andrea Dimmig-Osburg, Lucie Vandewalle, and Luc Schueremans. "Selecting creep models using Bayesian methods." Materials and Structures 45, no. 10 (March 21, 2012): 1513–33. http://dx.doi.org/10.1617/s11527-012-9854-x.

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Kaltenthaler, Eva, Katy Cooper, Marrissa Martyn-St James, Abdullah Pandor, and Ruth Wong. "VP166 Selecting Rapid Review Methods For Health Technology Assessment." International Journal of Technology Assessment in Health Care 33, S1 (2017): 225–26. http://dx.doi.org/10.1017/s0266462317004020.

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INTRODUCTION:Rapid reviews are of increasing importance within Health Technology Assessment (HTA) due to the need for timely evidence to underpin the assessment of new technologies as well as financial constraints. There are many rapid review methods available (1) although there is little guidance as to the most suitable methods (2). A recent paper outlines issues to consider when selecting rapid review methods (3). The aim of this presentation is to present key aspects to consider when selecting rapid review methods.METHODS:We searched the evidence base for guidance on the selection of rapid review methods. We also examined three recently completed systematic reviews to identify rapid review methods used, the reasons for selection and the strengths and weaknesses of each method. Finally we identified key aspects to consider when selecting rapid review methods.RESULTS:The evidence on guidance identified for the selection of rapid review methods was very limited. The analysis of the three reviews found that each review had distinctly different challenges, such as large numbers of relevant trials and heterogeneity in terms of populations, interventions, comparators and outcomes. All reviews included at least ten randomized controlled trials and numerous outcome measures. Three different approaches to the rapid review of the evidence were used in the three reviews. Key themes to consider when selecting rapid review methods were identified. These include: the size and nature of the evidence base, the characteristics of included studies and the expectations of those commissioning the review.CONCLUSIONS:Rapid review methods need to be chosen to fit the needs of the review, each of which may have different challenges. Collaboration between those producing rapid reviews and commissioners is crucial when choosing methods to ensure that the needs of commissioners are met and limitations associated with the chosen methods are understood.

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Feghaly, Jeffrey, Mounir El Asmar, Samuel Ariaratnam, and Wylie Bearup. "Selecting project delivery methods for water treatment plants." Engineering, Construction and Architectural Management 27, no. 4 (November 6, 2019): 936–51. http://dx.doi.org/10.1108/ecam-06-2019-0308.

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Purpose The purpose of this paper is to identify key project delivery method selection factors to assist water industry decision-makers in selecting the most appropriate delivery method for their water treatment plant projects. Design/methodology/approach The selection factors were identified by compiling and validating key project delivery selection factors across various industries through an extensive literature review and two industry expert workshops. This resulted in the development of a web-based decision-support tool to facilitate project delivery method selection within the water industry. Findings The research effort led to the identification of 13 key project delivery method selection factors (seven primary factors and six secondary factors) for water treatment plant projects. These factors were utilized to develop EXPRSS-TP, a pioneering web-based project delivery method decision-support tool for the water industry. Practical implications A project delivery method selection process is typically an informal process that may range from days to weeks at a time. Based on this work, the assessment can now be completed in about one hour and provides decision-makers with the most favorable delivery method for their project. And with the new tool that encompasses the new knowledge, not only is the decision reached at an accelerated pace, EXPRSS-TP also documents the entire selection process, allowing for a written and retained record of this key decision and its procedure. Originality/value This paper contributes to the exisiting body of knowledge by identifying key project delivery selection factors across numerous industries, assessing and combining them, and finally incorporating them into one comprehensive process. EXPRSS-TP improves the traditional project delivery method selection process and provides evidence-based project delivery method selection recommendations.

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13

Bani-Ismail, Basel, and Youcef Baghdadi. "Guiding the selection of service identification methods based on SOA maturity level." International Journal of Web Information Systems 15, no. 3 (August 19, 2019): 285–309. http://dx.doi.org/10.1108/ijwis-05-2018-0045.

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Purpose A mature adoption of a service-oriented architecture (SOA) goes steadily through different levels of maturity, whereby each level has its own types of services (e.g. software services or business services). However, the identification of such services is not an easy task even though there exist many service identification methods (SIMs). This paper aims to propose a new approach to select SIMs. The proposed selection approach for SIMs uses the desired SOA maturity level as the main guidance to assist the organizations in selecting a suitable SIM for each level of SOA maturity. Design/methodology/approach The methodology consists of three activities: surveying and selecting a suitable evaluation framework for SIMs, surveying and selecting a suitable SOA maturity model (SOAMM) and using the selected evaluation framework to decide a suitable SIM for the desired SOA maturity level with respect to the selected SOAMM. Findings Welke’s SOAMM and two existing evaluation frameworks for SIMs were found suitable to validate the proposed selection approach for SIMs. The two selected frameworks utilized the proposed selection approach to different degrees. To fully utilize the proposed selection approach, a comprehensive evaluation framework is required that addresses the most significant aspects of the existing SIMs. Originality/value In this research, the authors propose a new way of using Welke’s SOAMM to guide the organizations in selecting a suitable SIM from the existing evaluation frameworks for SIMs based on the desired SOA maturity level. In addition, the proposed selection approach improves the applicability of the existing evaluation frameworks, as it provides the organizations with a new way to select the methods.

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Nybo, Kristie. "Protein Methods: Selecting the Best Epitope Tag." BioTechniques 46, no. 3 (March 2009): 163–65. http://dx.doi.org/10.2144/000113147.

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Jara-Acevedo, Ricardo, Paula Diez, Maria Gonzalez-Gonzalez, Rosa Degano, Nieves Ibarrola, Rafael Gongora, Alberto Orfao, and Manuel Fuentes. "Methods for Selecting Phage Display Antibody Libraries." Current Pharmaceutical Design 22, no. 43 (January 11, 2017): 6490–99. http://dx.doi.org/10.2174/1381612822666161007153127.

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Sekiguchi, Shigehiko, and Nobuo Morita. "Economic analysis for selecting sand control methods." Journal of the Japanese Association for Petroleum Technology 73, no. 3 (2008): 232–43. http://dx.doi.org/10.3720/japt.73.232.

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Carter, Bryson R., and Marvin T. Batte. "Selecting Delivery Methods for Outreach Education Programs." Journal of Agricultural and Applied Economics 26, no. 2 (December 1994): 473–84. http://dx.doi.org/10.1017/s1074070800026390.

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AbstractFarmer perceptions of extension program delivery methods and an analysis of the relationships of method and farmer characteristics to evaluation scores are presented. Evaluation scores tend to increase with written, interactive and variable-scheduled methods and methods where users determine the agenda. Evaluations tend to be lower for high user cost and “high-tech” methods. Substantial similarity of results exists across groups of farmers differing by age, education levels, farm size and farm type. There are differences, however, in absolute valuation of the method characteristics across the groups.

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Gueimonde, Miguel, and Seppo Salminen. "New methods for selecting and evaluating probiotics." Digestive and Liver Disease 38 (December 2006): S242—S247. http://dx.doi.org/10.1016/s1590-8658(07)60003-6.

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19

Pottonen, L., P. Martinole, and O. Huet. "Selecting protective relays with digital test methods." IEEE Computer Applications in Power 14, no. 4 (2001): 47–54. http://dx.doi.org/10.1109/67.954528.

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Chen, Jian, and Wen Wen Xie. "Analysis of Selecting Cooling Load Coefficient Methods." Applied Mechanics and Materials 501-504 (January 2014): 2311–14. http://dx.doi.org/10.4028/www.scientific.net/amm.501-504.2311.

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This paper analyses the method of how to select the coefficient of cooling load caused by indoor heat source (including equipment, lighting and personnel) and solar heat gain, which provides a basis for the correct calculation of air condition cooling load.

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Tsai, S. P., and Y. H. Lee. "A criterion for selecting fermentation stoichiometry methods." Biotechnology and Bioengineering 33, no. 10 (April 20, 1989): 1347–49. http://dx.doi.org/10.1002/bit.260331018.

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Bofinger, Eve, and Wei Liu. "Theory & Methods: Selecting Closest to Control." Australian & New Zealand Journal of Statistics 43, no. 4 (December 2001): 421–30. http://dx.doi.org/10.1111/1467-842x.00190.

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Hays, R. B., H. A. Davies, J. D. Beard, L. J. M. Caldon, E. A. Farmer, P. M. Finucane, P. McCrorie, D. I. Newble, L. W. T. Schuwirth, and G. R. Sibbald. "Selecting performance assessment methods for experienced physicians." Medical Education 36, no. 10 (October 2002): 910–17. http://dx.doi.org/10.1046/j.1365-2923.2002.01307.x.

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Revilla, Melanie, and Carlos Ochoa. "Alternative methods for selecting web survey samples." International Journal of Market Research 60, no. 4 (April 3, 2018): 352–65. http://dx.doi.org/10.1177/1470785318765537.

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Probability-based sampling is the gold standard for general population surveys. However, when interested in more specific populations (e.g., consumers of a particular brand), a lot of research uses data from non-probability-based online panels. This article investigates different ways to select a sample in an opt-in panel: without previous information, using profiling information, or using passive data from a tracker installed on the panelists’ devices. Moreover, it investigates the effect of sending the survey closer to the “moment-of-truth,” which is expected to reduce memory limitations in recall questions. Using additional information (profiling or passive) to select the sample leads to clear improvements in terms of levels of participation and fieldwork efficiency, but not in terms of data quality (measured by the proportion of don’t know answers and the length of answers to open narrative questions) or accuracy (measured by comparing the answers to 14 questions to an external source of information). Doing the survey closer to the “moment-of-truth” further improves the fieldwork efficiency; however, there are still many challenges to implement true “in-the-moment” surveys. We also observed differences across the different samples in respondents’ socio-demographic characteristics and in the survey evaluation.

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Weitzman, Leo. "Factors for selecting appropriate solidification/stabilization methods." Journal of Hazardous Materials 24, no. 2-3 (January 1990): 157–68. http://dx.doi.org/10.1016/0304-3894(90)87007-5.

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Lish, Jim, Jeff C. H. Ko, and Mark E. Payton. "Evaluation of Two Methods of Endotracheal Tube Selection in Dogs." Journal of the American Animal Hospital Association 44, no. 5 (September 1, 2008): 236–42. http://dx.doi.org/10.5326/0440236.

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This study evaluated two methods of endotracheal tube selection using 28 fresh canine carcasses of various ages, weights, and genders. The two selection methods were 1) nasal septal width pairing with outer diameter of an endotracheal tube, and 2) digital palpation of the tracheal outer diameter to determine the endotracheal tube size. All dogs were dolichocephalic breeds. Results of this study showed that the canine nasal septal width method of endotracheal tube selection was correlated with the size of the tracheal internal (r=0.72) and outer (r=0.73) diameters. However, evidence shows that the digital palpation method is slightly more effective than the nasal width method in selecting the best-fitting endotracheal tube. The percentage of the best-fit tube selection for the nasal septal width method was 21%, while the digital palpation method was 46%. With these two methods, selecting an endotracheal tube that is too small is possible, especially when the tube internal diameter is ≥7 mm.

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Harper, Samantha, and Stephen Dorton. "A Context-Driven Framework for Selecting Mental Model Elicitation Methods." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 63, no. 1 (November 2019): 367–71. http://dx.doi.org/10.1177/1071181319631422.

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Mental models describe an internal representation of knowledge of an individual or group, which can be used to interpret interactions with their environment and provide insight into decision-making strategies and prediction of performance. There are several ways to elicit mental models and analyze them; however, there is little guidance for selecting an appropriate elicitation method. Depending on different constraints of research and desired outcomes, different elicitation methods are more appropriate than others. Three criteria were identified as useful for selecting an appropriate elicitation method. These were the interaction level with participants, the number of participants being evaluated, and the resulting level of analytical detail that is required. A process for selecting the most appropriate mental model elicitation method is herein presented. Additionally, an overview of the factors that affect the selection of the mental models, and the different types of mental models are also presented.

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Draffan, E. A., Abi James, Mike Wald, and Amal Idris. "Framework for selecting assistive technology user-participation methods." Journal of Assistive Technologies 10, no. 2 (June 20, 2016): 92–101. http://dx.doi.org/10.1108/jat-01-2016-0007.

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Purpose – A number of participatory research methodologies can be used to assist with developing assistive technologies. These methods vary in the amount that users lead and contribute to the work. Selecting the correct method can be important to ensure the overall success of the project and the engagement of users. The purpose of this paper is to explore factors that can impact on the degree of user participation. Design/methodology/approach – The paper considers whether criteria, that might influence assistive technology (AT) selection made during an assessment of need, review or purchasing process, could also be used to clarify the appropriate strategies for user involvement when developing assistive technologies. It outlines how this approach has been applied to two research and development projects which aimed to improve AT provision within niche markets. Findings – The paper demonstrates that it is possible to apply a decision making process to selecting the best participatory research method, based on factors affecting AT need. It reports on the outcomes of the user participation in the two research and development projects and discusses how this design approach has been applied to a third project. Originality/value – By examining a possible framework for identifying appropriate user-participation approaches, this paper will aid those designing research and development AT projects, whilst encouraging user participation within similar projects.

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Selivanov, S. G., and A. A. Nourgaliyev. "Using artificial intelligence and fuzzy logic methods for selecting coating methods." Welding International 28, no. 5 (November 2013): 420–23. http://dx.doi.org/10.1080/09507116.2013.840031.

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Wang, Shuo Liang, and Yuan Zhang. "Plugging Agent Type Selecting Methods for Channeling Reservoir." Advanced Materials Research 941-944 (June 2014): 2570–73. http://dx.doi.org/10.4028/www.scientific.net/amr.941-944.2570.

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The breakthrough flow of injected water and polymer caused by heterogeneous formation is a serious problem in many oil fields, and the problem has become an important restraint to oil development. The profile control and water shutoff plan is determined by experienced and subjective human judgments, the blocking agent selection and plugging agent dosage are lack of scientific basis. Based on a reservoir engineering study, this article proposes an internal pressure calculation model and an injection pressure calculation model, the ultimate gradient of breakthrough pressure and plugging agent working viscosity. Combining methods of plugging agent performance evaluation method, we conclude the matching relation between characteristic parameter of thief zone and performance of plugging agent. A method for selecting a plugging agent in the light of thief zone is established. Case study results reveal the practicability and effectiveness of this method.

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Mohammadi, Moona, Mohammadreza Mohammadi, Alireza Mohammadi, and Said Farahat. "Analyzing Mathematical and Software Methods for Selecting and Designing Francis Turbine in Hydropower Plants." Journal of Clean Energy Technologies 4, no. 4 (2015): 276–83. http://dx.doi.org/10.7763/jocet.2016.v4.297.

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DŹWIGOŁ, Henryk. "Verification of the need to develop a tool for selecting research methods and techniques." Scientific Papers of Silesian University of Technology. Organization and Management Series 2020, no. 146 (2020): 87–98. http://dx.doi.org/10.29119/1641-3466.2020.146.7.

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Purpose: The aim of this paper was to verify the necessity of devising a tool, method, procedure of selecting research methods and techniques for the research process, in order to increase the quality and reliability of the conducted research. Design/methodology/approach: Within the scope of the research process a questionnaire was used, which was distributed in two forms to management theoreticians and practitioners. 401 management science theoreticians and 118 management practice representatives were examined. Thus, the research problem was defined as follows: Is it necessary to develop (model, procedure, tool, approach) to the research process? Findings: Conclusions derived from the completed analysis of national and foreign literature on management sciences indicate the need to perform a diagnosis. The diagnosis refers to the development of a procedure for selecting methods and techniques for the sake of research processes in management sciences. The research carried out has identified the methods, procedures and approaches that are most relevant to the research process and its various components in management sciences. This makes it possible not only to determine the extent to which individual methods and techniques are used or combined, but also to identify certain regularities in the perception of the research process in this context and other variables that may influence the relevance of the appropriate choice of methods and techniques for the research process in management science in order to increase the reliability, level and quality of the research conducted. Research limitations/implications: The methodological and method-related correctness of the presented work is confirmed by the answers to the questions included in the questionnaires. They most often highlighted barriers in planning and conducting scientific research, obstacles beyond the methodological ones, mistakes most often made in scientific research in management sciences, the applicability of results to business practice. Practical implications: The conclusions of the research confirm that for the effective operation of the research process, it is necessary to develop a kind of 'behavioural algorithm' that will allow methods to be adapted to the posed research problem, once the gap has been defined, which will result in added value for practice. This is also confirmed by reactions of management practitioners to these statements. 89% of the surveyed practitioners believe that there is a need to develop a model, procedure, tool or approach to support the appropriate selection of methods for the research process.Social implications: In management sciences it is genuinely easy to create ‘new theories’ that are not finally verified. A swift introduction of new, recommended management-related concepts and methods, as well as their rapid rejection resulted in negative organisational changes. It would be difficult to determine the reasons why the applied methods lack effectiveness. Was the failure triggered by an inadequate method used for a management process or by its unskilful implementation. Originality/value: One verified the necessity of devising a tool, method, procedure of selecting research methods and techniques for the research process, in order to increase the quality and reliability of the conducted research. The elaborated methods, procedures or models were verified in practice with the aim of making the research reliable.

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Hong, Guang Rong, and You Fa Wu. "Selecting Key Village by Quantitative and Qualitative Methods." Applied Mechanics and Materials 397-400 (September 2013): 707–11. http://dx.doi.org/10.4028/www.scientific.net/amm.397-400.707.

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The scientific and rational choice of key village is key to the new rural construction, mutual promotion and co-ordination between the urban and the rural in the transition period. The artificial extent of existing qualitative methods is great. Based on the space interaction principle, by introduction of quantitative methods and combination of quantitative method and qualitative method, four types of key villages are selected: the developing type, the connecting type, the trending type and the new constructing type. From the editors′ practice of new rural planning and construction in Xiaogan, they are made four typical illustrations and statistical analyses for 98 administrative villages.

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Galluccio, Caterina. "Methods for Selecting Ethical Investments: Some Sociological Explanations." Advances in Applied Sociology 08, no. 04 (2018): 319–28. http://dx.doi.org/10.4236/aasoci.2018.84018.

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Lin, Yu-Ching, Yi-Chien Lu, Fang-Ping Chen, Ying Chin Lin, Yun-Chung Cheung, and Wing P. Chan. "Selecting Appropriate Sarcopenia Screening Methods for Asian Populations." Journal of Clinical Medicine 9, no. 8 (July 22, 2020): 2333. http://dx.doi.org/10.3390/jcm9082333.

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We aimed to determine the most appropriate sarcopenia screening method for Asian populations. We retrospectively studied the physiological differences between the sexes in healthy individuals and prospectively compared using skeletal muscle mass versus handgrip strength (HS) to screen for sarcopenia in a community-based population. Skeletal muscle mass was determined using dual-energy X-ray absorptiometry. Of 5881 healthy individuals recruited, 101 were from urban populations and 349 from a community-based population. The sexes were comparable in total lean muscle mass declines after peaking around 20 years of age. An age-dependent decline in total fat mass was found only among men;a persistent increase in total fat mass was observed only among women. The prevalence of low skeletal muscle mass significantly increased with age in both sexes only when applying the weight-adjusted skeletal muscle index (wSMI); it was significant only among men when applying the height-adjusted skeletal muscle index (hSMI). Using HS resulted in a much higher prevalence of sarcopenia in both sexes. A significant age-dependent increase in fat mass in women showed that the most appropriate adjustment method is wSMI for women and hSMI for men. Nevertheless, a primary HS survey is recommended for both sexes in Asian populations.

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Tadeu, Maraisa Hellen, Rafael Pio, Gabi Nunes Silva, Mercy Olmstead, Cosme Damião Cruz, Filipe Bittencourt Machado de Souza, and Rayane Barcelos Bisi. "Methods for selecting peach cultivars in the tropics." Scientia Horticulturae 252 (June 2019): 252–59. http://dx.doi.org/10.1016/j.scienta.2019.01.016.

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Abbott, David F., Gaby S. Pell, Heath R. Pardoe, and Graeme D. Jackson. "Selecting appropriate voxel-based methods for neuroimaging studies." NeuroImage 59, no. 2 (January 2012): 885–86. http://dx.doi.org/10.1016/j.neuroimage.2011.06.083.

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Fedorova, V. A., T. A. Moiseeva, and E. V. Poddubnaya. "METHODS OF SELECTING ACCEPTABLE STRATEGIES OF SOFTWARE DEVELOPMENT." Issues of radio electronics, no. 11 (November 20, 2018): 33–39. http://dx.doi.org/10.21778/2218-5453-2018-11-33-39.

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Currently, software is used in many areas of human activity. But the developers of software systems often have problems that leads to exceeding the time and budget of development, as well as reduces the quality and security of software. The paper proposes a methodology developed by the authors, which allows you to standardize the process of creating software. The proposed approach greatly facilitates the organization of the process of collective development and management of software development, improves the quality of the developed software, reduces the risks of the developer and the customer and also reduces the time spent on the creation of software and the cost of its development. The developed technique fully standardizes the software development process, from the moment of creation of specification and ending with the introduction and support of the software product.

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Scholarios, Dora, and Cliff Lockyer. "Recruiting and Selecting Professionals: Context, Qualities and Methods." International Journal of Selection and Assessment 7, no. 3 (September 1999): 142–56. http://dx.doi.org/10.1111/1468-2389.00114.

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Shtern, Mark, and Vassilios Tzerpos. "Methods for selecting and improving software clustering algorithms." Software: Practice and Experience 44, no. 1 (July 31, 2012): 33–46. http://dx.doi.org/10.1002/spe.2147.

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Domingo-Ferrer, Josep, and Vicenç Torra. "Selecting potentially relevant records using re-identification methods." New Generation Computing 22, no. 3 (September 2004): 239–52. http://dx.doi.org/10.1007/bf03040962.

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de Miranda-Filho, J. B., and L. J. Chaves. "Procedures for selecting composites based on prediction methods." Theoretical and Applied Genetics 81, no. 2 (February 1991): 265–71. http://dx.doi.org/10.1007/bf00215732.

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Moore, Richard. "Improved methods for identifying and selecting development concepts." APPEA Journal 53, no. 2 (2013): 429. http://dx.doi.org/10.1071/aj12040.

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Identifying and selecting development concepts is a basic prerequisite for commercialising any hydrocarbon discovery. Anyone familiar with this activity knows of the high level of effort that can be expended by companies in what appears, on the surface, to be a relatively straightforward task. Several processes are proposed that provide structure, simplicity, and clarity to this task. A development theme analysis (DTA) provides a sound structure for identifying development themes, as well as clearly separating the high-level development considerations from the more detailed engineering concept issues that can usually be resolved in subsequent work phases. A development driver's analysis (DDA) provides a structure to identify the most significant elements and, hence, allows concentration of study effort in the most important areas. Added to these processes is a discussion of fundamental error types. Knowledge of error types and where the process can stray from the business objective is an important factor in ensuring its success. Equally these processes should challenge the status quo and still permit adequate brainstorming, blue-sky thinking. These processes are not difficult to understand, and will at least in part be familiar to many concept development practitioners; however, the application of this structure with its associated clarity should not only simplify the process, but also provide a much improved level of confidence to all stakeholders that the best possible concepts have been identified, both efficiently and without any omissions.

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Naseer, A., T. Eldabi, and T. P. Young. "RIGHT: A toolkit for selecting healthcare modelling methods." Journal of Simulation 4, no. 1 (March 2010): 2–13. http://dx.doi.org/10.1057/jos.2009.19.

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Luo, Wenhong, and Y. Alex Tung. "A framework for selecting business process modeling methods." Industrial Management & Data Systems 99, no. 7 (November 1999): 312–19. http://dx.doi.org/10.1108/02635579910262535.

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Frankcombe, Terry J., and Sean C. Smith. "Selecting Methods to Solve Multi-Well Master Equations." Journal of Theoretical and Computational Chemistry 02, no. 02 (June 2003): 179–91. http://dx.doi.org/10.1142/s0219633603000483.

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Abstract:

There are several competing methods commonly used to solve energy grained master equations describing gas-phase reactive systems. When it comes to selecting an appropriate method for any particular problem, there is little guidance in the literature. In this paper we directly compare several variants of spectral and numerical integration methods from the point of view of computer time required to calculate the solution and the range of temperature and pressure conditions under which the methods are successful. The test case used in the comparison is an important reaction in combustion chemistry and incorporates reversible and irreversible bimolecular reaction steps as well as isomerizations between multiple unimolecular species. While the numerical integration of the ODE with a stiff ODE integrator is not the fastest method overall, it is the fastest method applicable to all conditions.

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Shahabuddin, Syed. "Modelling and selecting among multiple time series methods." International Journal of Operational Research 8, no. 3 (2010): 313. http://dx.doi.org/10.1504/ijor.2010.033542.

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Takasaki, Shigeru. "Efficient prediction methods for selecting effective siRNA sequences." Computers in Biology and Medicine 40, no. 2 (February 2010): 149–58. http://dx.doi.org/10.1016/j.compbiomed.2009.11.011.

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Shtub, Avraham, Israel Spiegler, and Adi Kapeliuk. "Using DSS methods in selecting operations management software." Computer Integrated Manufacturing Systems 1, no. 4 (November 1988): 211–20. http://dx.doi.org/10.1016/0951-5240(88)90053-5.

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Land, Lucille M. "Selecting potential nurses: a review of the methods." Nurse Education Today 13, no. 1 (February 1993): 30–39. http://dx.doi.org/10.1016/0260-6917(93)90006-n.

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