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Relevant bibliographies by topics / Models of relationships

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Academic literature on the topic 'Models of relationships'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 February 2022

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Journal articles on the topic "Models of relationships"

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Labriola, Kathy. "Models of Open Relationships." Journal of Lesbian Studies 3, no. 1-2 (January 1999): 217–25. http://dx.doi.org/10.1300/j155v03n01_25.

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Buller, Steve. "Psychodynamic models in relationships." Nursing Standard 4, no. 18 (January 30, 1990): 32–34. http://dx.doi.org/10.7748/ns.4.18.32.s40.

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McCollum, Eric, Margaret McMahon, and Marlene E. Watson. "Response: Families, Models, Relationships." Science & Practice Perspectives 2, no. 2 (August 2004): 41–43. http://dx.doi.org/10.1151/spp042241.

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Cholvi, Vicent, and Josep Bernabéu. "Relationships between memory models." Information Processing Letters 90, no. 2 (April 2004): 53–58. http://dx.doi.org/10.1016/j.ipl.2004.01.007.

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Fetscherin, Marc, Cleopatra Veloutsou, and Francisco Guzman. "Models for brand relationships." Journal of Product & Brand Management 30, no. 3 (April 28, 2021): 353–59. http://dx.doi.org/10.1108/jpbm-04-2021-012.

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Glines, Wayne M. "Models of Dose Response Relationships." Health Physics 118, no. 3 (March 2020): 281–86. http://dx.doi.org/10.1097/hp.0000000000001190.

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Panov, Vladimir, and Anatoly Varaksin. "Relationships between Linear Statistical Models." British Journal of Mathematics & Computer Science 11, no. 6 (January 10, 2015): 1–18. http://dx.doi.org/10.9734/bjmcs/2015/20493.

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Rust, Roland T., and Tuck Siong Chung. "Marketing Models of Service and Relationships." Marketing Science 25, no. 6 (November 2006): 560–80. http://dx.doi.org/10.1287/mksc.1050.0139.

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Birnbaum, Michael H. "Relationships among models of salary bias." American Psychologist 40, no. 7 (1985): 862–66. http://dx.doi.org/10.1037/0003-066x.40.7.862.

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Roelleke, Thomas. "Information Retrieval Models: Foundations and Relationships." Synthesis Lectures on Information Concepts, Retrieval, and Services 5, no. 3 (July 26, 2013): 1–163. http://dx.doi.org/10.2200/s00494ed1v01y201304icr027.

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Dissertations / Theses on the topic "Models of relationships"

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Bowtell, Philip. "Non-linear functional relationships." Thesis, University of Reading, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.284183.

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Veerapen, Parmaseeven Pillay. "Recurrence relationships and model monitoring for Dynamic Linear Models." Thesis, University of Warwick, 1991. http://wrap.warwick.ac.uk/109386/.

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This thesis considers the incorporation and deletion of information in Dynamic Linear Models together with the detection of model changes and unusual values. General results are derived for the Normal Dynamic Linear Model which naturally also relate to second order modelling such as occurs with the Kalman Filter, linear least squares and linear Bayes estimation. The incorporation of new information, the assessment of its influence and the deletion of old or suspect information are important features of all sequential models. Many dynamic sequential models exhibit conditioned, independence properties. Important results concerning conditional independence in normal models are established which provide the framework and the tools necessary to develop neat procedures and to obtain appropriate recurrence relationships for data incorporation and deletion. These are demonstrated in the context of dynamic linear models, with particularly simple procedures for discount regression models. Appropriate model and forecast monitoring mechanisms are required to detect model changes and unusual values. Cumulative Sum (Cusum) techniques widely used in quality control and in model and forecast monitoring have been the source of inspiration in this context. Bearing in mind that a single sided Cusum may be regarded essentially as a sequence of sequential tests, such a Cusum is, in many cases, equivalent to a Sequence of Sequential Probability Ratio Tests in many cases, as for example in the case of the Exponential Family. A relationship between Cusums and Bayesian decision is established for a useful class of linear loss functions. It is found to apply to the Normal and other important practical cases. For V- mask Cusum graphs, a particularly interesting result which emerges is the interpretation of the distance of the V vertex from the latest plotted point as the prior precision in terms of a number of equivalent observations.

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Epperson, Sidney Reins. "Models of Consultation, Referral Problems and the Perceived Effectiveness of Parent and Teacher Consultation." Thesis, North Texas State University, 1986. https://digital.library.unt.edu/ark:/67531/metadc501027/.

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This study evaluated the school psychologist's perception of effective models of consultation based upon referral problem and parent, teacher, and student response to treatment. Analyses of covariance determined that (a) parents' receptivity and total number of teacher contacts significantly influenced the parents' response to treatment; (b) teacher receptivity and total number of parent contacts significantly affected teachers' response to treatment; (c) students' response to treatment was significantly affected by the model of teacher consultation and the average number of minutes spent with the school psychologists; and (d) students in a Mental Health consultation group responded significantly more favorably than s tudents in Behavioral or Collaborative consultation groups.

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Cheng, Yan. "Wood property relationships and survival models in reliability." Thesis, University of British Columbia, 2010. http://hdl.handle.net/2429/27953.

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It has been a topic of great interest in wood engineering to understand the relationships between the different strength properties of lumber and the relationships between the strength properties and covariates such as visual grading characteristics. In our mechanical wood strength tests, each piece fails (breaks) after surviving a continuously increasing load to a level. The response of the test is the wood strength property -- load-to-failure, which is in a very different context from the standard time-to-failure data in Biostatistics. This topic is also called reliability analysis in engineering. In order to describe the relationships among strength properties, we develop joint and conditional survival functions by both a parametric method and a nonparametric approach. However, each piece of lumber can only be tested to destruction with one method, which makes modeling these joint strengths distributions challenging. In the past, this kind of problem has been solved by subjectively matching pieces of lumber, but the quality of this approach is then an issue. We apply the methodologies in survival analysis to the wood strength data collected in the FPInnovations (FPI) laboratory. The objective of the analysis is to build a predictive model that relates the strength properties to the recorded characteristics (i.e. a survival model in reliability). Our conclusion is that a type of wood defect (knot), a lumber grade status (off-grade: Yes/No) and a lumber's module of elasticity (moe) have statistically significant effects on wood strength. These significant covariates can be used to match pieces of lumber. This paper also supports use of the accelerated failure time (AFT) model as an alternative to the Cox proportional hazard (Cox PH) model in the analysis of survival data. Moreover, we conclude that the Weibull AFT model provides a much better fit than the Cox PH model in our data set with a satisfying predictive accuracy.

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Bartz, Jennifer A. "Regulatory focus and attachment models in close relationships." Thesis, McGill University, 2000. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=31087.

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This study first investigated the association between individuals' chronic regulatory styles and their attachment models in adult close relationships, and then looked at how individuals' chronic regulatory styles interact with their attachment models to influence relationship maintenance strategies (RMS) such as accommodating one's partner's transgressions and making personal sacrifices for the relationship. One hundred twenty-one dating-students completed the computerized Selves Questionnaire (Higgins et al., 1997) assessing ideal and ought discrepancies and their chronic accessibility (promotion and prevention focus strength), and then answered questions addressing attachment, accommodation and willingness to sacrifice. Results revealed that ought discrepancies were associated with avoidant attachment for high prevention focus strength individuals, whereas ideal discrepancies were associated with anxious attachment for low promotion focus strength individuals. Furthermore, prevention focus strength interacted with avoidant attachment, such that individuals with a strong prevention focus engaged in RMS to the extent that they were not avoidantly attached.

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Watters, George Murray. "Models of parasitism and hyperparasitism on Paralomis spinosissima /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 1997. http://wwwlib.umi.com/cr/ucsd/fullcit?p9823698.

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Hagerty, Nicholas L. "Bayesian Network Modeling of Causal Relationships in Polymer Models." Miami University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=miami1619009432971036.

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Wang, Jun. "Probabilistic retrieval models : relationships, context-specific application, selection and implementation." Thesis, Queen Mary, University of London, 2011. http://qmro.qmul.ac.uk/xmlui/handle/123456789/655.

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Retrieval models are the core components of information retrieval systems, which guide the document and query representations, as well as the document ranking schemes. TF-IDF, binary independence retrieval (BIR) model and language modelling (LM) are three of the most influential contemporary models due to their stability and performance. The BIR model and LM have probabilistic theory as their basis, whereas TF-IDF is viewed as a heuristic model, whose theoretical justification always fascinates researchers. This thesis firstly investigates the parallel derivation of BIR model, LM and Poisson model, wrt event spaces, relevance assumptions and ranking rationales. It establishes a bridge between the BIR model and LM, and derives TF-IDF from the probabilistic framework. Then, the thesis presents the probabilistic logical modelling of the retrieval models. Various ways of how to estimate and aggregate probability, and alternative implementation to nonprobabilistic operator are demonstrated. Typical models have been implemented. The next contribution concerns the usage of of context-specific frequencies, i.e., the frequencies counted based on assorted element types or within different text scopes. The hypothesis is that they can help to rank the elements in structured document retrieval. The thesis applies context-specific frequencies on term weighting schemes in these models, and the outcome is a generalised retrieval model with regard to both element and document ranking. The retrieval models behave differently on the same query set: for some queries, one model performs better, for other queries, another model is superior. Therefore, one idea to improve the overall performance of a retrieval system is to choose for each query the model that is likely to perform the best. This thesis proposes and empirically explores the model selection method according to the correlation of query feature and query performance, which contributes to the methodology of dynamically choosing a model. In summary, this thesis contributes a study of probabilistic models and their relationships, the probabilistic logical modelling of retrieval models, the usage and effect of context-specific frequencies in models, and the selection of retrieval models.

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Rad, Yasaman Talaei, and Ramtin Jabbari. "Use of Global Consistency Checking for Exploring and Refining Relationships between Distributed Models : A Case Study." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3432.

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Context. Software systems, becoming larger and more complex day-by-day, have resulted in software development processes to become more complex to understand and manage. Many companies have started to adapt distributed software engineering practices that would allow them to work in distributed teams at different organizations and/or geographical locations. For example, model-driven engineering methods are being used in such global software engineering projects. Among the activities in model-based software development, consistency checking is one of the widely known ones. Consistency checking is concerned with consistent models; in particular, having a consistent group of multiple models for a whole system, e.g., multiple models produced by distributed teams. Objectives. This thesis aims to find out how ‘Global Consistency Checking (GCC)’ can be utilized for exploring inconsistency problems between distributed models; particularly among UML class diagram relationships (in terms of consistency), as well as how GCC can be scaled with large number of models and relationships. Thereby, these inconsistencies are also aimed to incrementally resolve in our approach. Methods. We made a review in distributed software development domain and model management, in particular, methods of consistency checking between ‘Distributed Models (DM)’. Next, we conducted two case studies in two problem domains in order to apply our ‘consistency checking methodology’. We concurrently constructed and implemented new consistency rules, most of which are gathered from literatures and brainstorming with our coordinators. Generally, the method contains implementing different models of the case studies with a tool support and trying to figure out overlaps, merging models and checking the merged model against the consistency rules, and evaluating the results of GCC. We mainly addressed issues focused on consistency checking of individual models and the mapping between them e.g., pair-wise consistency checking (PCC), which are incapable of fully addressing problems against any consistency rules encountered in distributed environments. Results. We have identified seven types of inconsistency, which are divided in two groups named ‘Global inconsistency’ and ‘Pair-wise inconsistency’. In the first case study, we have 94 global inconsistencies and 73 pair-wise. In the second one, 14 global and 25 pair-wise inconsistencies are resulted. During ‘Resolution approach’, we followed six steps as a ‘systematic procedure’ for resolving these inconsistencies and constructed new merged model in each iteration. The initial merged model (inconsistent model) as an input for the first step has 1267 elements, and the consistent merged model (the output) from the sixth step has 686 elements. ‘time duration’ and ‘required effort’ for checking consistency against each ‘consistency rule’ were recorded, analyzed and illustrated in Sections 4.1.5 and 4.2.4. Conclusions. We concluded that GCC enables us to explore the inconsistencies, inclusive of resolving them and therefore, refining the relationships between different models, which are difficult to detect by e.g., a pair-wise method. The most important issues are: The number of model comparisons conducted by PCC, The inability of PCC for identifying some inconsistencies, Model relationships refinement and classification based on PCC approach will not lead to a final consistent DM, whereas, GCC guarantees it. Consistency rules application, inconsistency identification and resolving them could be generalized to any UML class diagram model representing a problem domain within the fields of consistency checking in software engineering.
0046760850792, 0046737749752

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Puls, John Michael. "Compaction models for predicting moisture-density-energy relationships for earth materials." [Ames, Iowa : Iowa State University], 2008.

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Books on the topic "Models of relationships"

1

Veerapen, Parmaseeven Pillay. Recurrence relationships and model monitoring for dynamic linear models. [s.l.]: typescript, 1991.

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Lappen, Glenda. Thinking with mathematical models: Representing relationships. Needham, Mass: Pearson/Prentice Hall, 2004.

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Iacobucci, Dawn. Measurement quality issues in dyadic models of relationships. Fontainebleau: INSEAD, 1997.

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R, Hipp John, and Marquart-Pyatt Sandra T, eds. Nonrecursive models: Endogeneity, reciprocal relationships, and feedback loops. Thousand Oaks, Calif: SAGE, 2011.

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Oshri, Ilan, Julia Kotlarsky, and Leslie P. Willcocks, eds. Advances in Global Sourcing. Models, Governance, and Relationships. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40951-6.

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Paxton, Pamela, John Hipp, and Sandra Marquart-Pyatt. Nonrecursive Models: Endogeneity, Reciprocal Relationships, and Feedback Loops. 2455 Teller Road, Thousand Oaks California 91320 United States: SAGE Publications, Inc., 2011. http://dx.doi.org/10.4135/9781452226514.

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Iacobucci, D. Measurement quality issues in dyadic models of relationships. France: INSEAD, 1997.

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Cole, Harold Linh. Reputation spillover across relationships: Reviving reputation models of debt. Cambridge, MA: National Bureau of Economic Research, 1996.

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Brauer, W., W. Reisig, and G. Rozenberg, eds. Petri Nets: Applications and Relationships to Other Models of Concurrency. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/3-540-17906-2.

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Hasse, Rainer W. Geometrical Relationships of Macroscopic Nuclear Physics. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988.

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Book chapters on the topic "Models of relationships"

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Tracy, D. S., and K. G. Jinadasa. "On Ultrastructural Relationships Models." In Advances in the Statistical Sciences: Foundations of Statistical Inference, 139–47. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-4788-7_13.

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Morgan, Steve. "Models, theories and processes." In Helping Relationships in Mental Health, 28–44. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4899-3224-2_3.

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Saloniemi, I. "Mathematical Models of Plant/Fungus Interactions." In Plant Relationships Part B, 239–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60647-2_15.

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Gottman, John M., and Paul R. Peluso. "Dynamic Models of Social Interaction." In Mathematical Modeling of Social Relationships, 17–29. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76765-9_2.

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Green, Rebecca. "Internally-Structured Conceptual Models in Cognitive Semantics." In The Semantics of Relationships, 73–89. Dordrecht: Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-017-0073-3_5.

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Stein, Dominik, Stefan Hanenberg, and Rainer Unland. "On Relationships Between Query Models." In Model Driven Architecture – Foundations and Applications, 254–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11581741_19.

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Nielsen, Mogens, Vladimiro Sassone, and Glynn Winskel. "Relationships between models of concurrency." In A Decade of Concurrency Reflections and Perspectives, 425–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/3-540-58043-3_25.

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Peseschkian, Nossrat. "The Relationships between Therapeutic Models." In Positive Family Therapy, 246–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-70680-6_50.

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Modina, Michele. "The Generation of New Models." In Credit Rating and Bank-Firm Relationships, 73–83. London: Palgrave Macmillan UK, 2015. http://dx.doi.org/10.1057/9781137496225_5.

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Franz, Wolfgang. "Hysteresis in Economic Relationships: An Overview." In Hysteresis Effects in Economic Models, 1–17. Heidelberg: Physica-Verlag HD, 1990. http://dx.doi.org/10.1007/978-3-642-51543-9_1.

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Conference papers on the topic "Models of relationships"

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Zhang, Wanlin. "Mathematic Models of Interspecific Relationships." In ISAIMS 2020: 2020 International Symposium on Artificial Intelligence in Medical Sciences. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3429889.3429892.

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Cao, Guihong, Jian-Yun Nie, and Jing Bai. "Integrating word relationships into language models." In the 28th annual international ACM SIGIR conference. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1076034.1076086.

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BOYCE, L., and C. CHAMIS. "Probabilistic constitutive relationships for cyclic material strength models." In Advanced Marine Systems Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1988. http://dx.doi.org/10.2514/6.1988-2376.

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BOYCE, L., and C. CHAMIS. "Probabilistic constitutive relationships for material strength degradation models." In 30th Structures, Structural Dynamics and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1989. http://dx.doi.org/10.2514/6.1989-1368.

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Rahimi, Marziea, Morteza Zahedi, and Hoda Mashayekhi. "Incorporating local word relationships into probabilistic topic models." In 2015 7th Conference on Information and Knowledge Technology (IKT). IEEE, 2015. http://dx.doi.org/10.1109/ikt.2015.7288758.

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Sharan, Umang, and Jennifer Neville. "Exploiting time-varying relationships in statistical relational models." In the 9th WebKDD and 1st SNA-KDD 2007 workshop. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1348549.1348551.

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Singh, Gaurav, and Rolf A. de By. "Models for half-direction based part-whole relationships." In the Third ACM SIGSPATIAL International Workshop. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2442968.2442972.

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Jiang, Miao, Mohammad A. Munawar, Thomas Reidemeister, and Paul A. S. Ward. "Heteroscedastic models to track relationships between management metrics." In 2009 IFIP/IEEE International Symposium on Integrated Network Management (IM). IEEE, 2009. http://dx.doi.org/10.1109/inm.2009.5188838.

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Zeng, Le, Chandramouli Viswanathan, Chandra S. Pathak, and S. V. T. Ramesh. "Radar Specific Z-R Relationships Using ANN Models." In World Environmental And Water Resources Congress 2012. Reston, VA: American Society of Civil Engineers, 2012. http://dx.doi.org/10.1061/9780784412312.393.

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Bjarnadottir, Margret, Aaron Hunt, and Louiqa Raschid. "Choosing Models to Explore Financial Supply Chain Relationships." In SIGMOD/PODS '18: International Conference on Management of Data. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3220547.3220552.

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Reports on the topic "Models of relationships"

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Segalman, Daniel Joseph, and Michael James Starr. Relationships among certain joint constitutive models. Office of Scientific and Technical Information (OSTI), September 2004. http://dx.doi.org/10.2172/919196.

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Cole, Harold, and Patrick Kehoe. Reputation Spillover Across Relationships with Enduring and Transient Beliefs: Reviving reputation Models of Debt. Cambridge, MA: National Bureau of Economic Research, March 1996. http://dx.doi.org/10.3386/w5486.

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Forsman, Eric D., James K. Swingle, Raymond J. Davis, Brian L. Biswell, and Lawrence S. Andrews. Tree voles: an evaluation of their distribution and habitat relationships based on recent and historical studies, habitat models, and vegetation change. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, 2016. http://dx.doi.org/10.2737/pnw-gtr-948.

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Forsman, Eric D., James K. Swingle, Raymond J. Davis, Brian L. Biswell, and Lawrence S. Andrews. Tree voles: an evaluation of their distribution and habitat relationships based on recent and historical studies, habitat models, and vegetation change. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, 2016. http://dx.doi.org/10.2737/pnw-gtr-948.

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Nepal, Prakash, Peter J. Ince, Kenneth E. Skog, and Sun J. Chang. Developing Inventory Projection Models Using Empirical Net Forest Growth and Growing-Stock Density Relationships Across U&#46S&#46 Regions and Species Group. Madison, WI: U.S. Department of Agriculture, Forest Service, Forest Products Laboratory, 2012. http://dx.doi.org/10.2737/fpl-rp-668.

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Giacomini, Raffaella. The relationship between DSGE and VAR models. Cemmap, May 2013. http://dx.doi.org/10.1920/wp.cem.2013.2113.

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Douglas, Thomas, and Caiyun Zhang. Machine learning analyses of remote sensing measurements establish strong relationships between vegetation and snow depth in the boreal forest of Interior Alaska. Engineer Research and Development Center (U.S.), July 2021. http://dx.doi.org/10.21079/11681/41222.

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The seasonal snowpack plays a critical role in Arctic and boreal hydrologic and ecologic processes. Though snow depth can be different from one season to another there are repeated relationships between ecotype and snowpack depth. Alterations to the seasonal snowpack, which plays a critical role in regulating wintertime soil thermal conditions, have major ramifications for near-surface permafrost. Therefore, relationships between vegetation and snowpack depth are critical for identifying how present and projected future changes in winter season processes or land cover will affect permafrost. Vegetation and snow cover areal extent can be assessed rapidly over large spatial scales with remote sensing methods, however, measuring snow depth remotely has proven difficult. This makes snow depth–vegetation relationships a potential means of assessing snowpack characteristics. In this study, we combined airborne hyperspectral and LiDAR data with machine learning methods to characterize relationships between ecotype and the end of winter snowpack depth. Our results show hyperspectral measurements account for two thirds or more of the variance in the relationship between ecotype and snow depth. An ensemble analysis of model outputs using hyperspectral and LiDAR measurements yields the strongest relationships between ecotype and snow depth. Our results can be applied across the boreal biome to model the coupling effects between vegetation and snowpack depth.

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Hamill, Daniel, and Gabrielle David. Hydrologic analysis of field delineated ordinary high water marks for rivers and streams. Engineer Research and Development Center (U.S.), August 2021. http://dx.doi.org/10.21079/11681/41681.

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Streamflow influences the distribution and organization of high water marks along rivers and streams in a landscape. The federal definition of ordinary high water mark (OHWM) is defined by physical and vegetative field indicators that are used to identify inundation extents of ordinary high water levels without any reference to the relationship between streamflow and regulatory definition. Streamflow is the amount, or volume, of water that moves through a stream per unit time. This study explores regional characteristics and relationships between field-delineated OHWMs and frequency-magnitude streamflow metrics derived from a flood frequency analysis. The elevation of OHWM is related to representative constant-level discharge return periods with national average return periods of 6.9 years using partial duration series and 2.8 years using annual maximum flood frequency approaches. The range in OHWM return periods is 0.5 to 9.08, and 1.05 to 11.01 years for peaks-over-threshold and annual maximum flood frequency methods, respectively. The range of OHWM return periods is consistent with the range found in national studies of return periods related to bankfull streamflow. Hydraulic models produced a statistically significant relationship between OHWM and bank-full, which reinforces the close relationship between the scientific concept and OHWM in most stream systems.

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Fuentes, Rolando. Distribution Networks Tariff Design in the Era of Decentralization: A Business Model Approach. King Abdullah Petroleum Studies and Research Center, November 2020. http://dx.doi.org/10.30573/ks--2020-dp24.

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In this paper we discuss the unexplored two-way relationship between distribution network tariff design and the emergence of new business models in the power sector. Distribution network tariffs have traditionally used a cost accounting method. We suggest, instead, the use of a business model framework to analyze the extent to which emerging business models in the power sector change the way electricity distribution network services are priced and packaged.

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Karas, Thomas H. Modelers and policymakers : improving the relationships. Office of Scientific and Technical Information (OSTI), June 2004. http://dx.doi.org/10.2172/919124.

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