A Tutorial on the Piecewise Regression Approach Applied to Bedload Transport Data PDF Download
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Author: Sandra E. Ryan
Publisher:
ISBN:
Category : River sediments
Languages : en
Pages : 48
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Book Description
"This tutorial demonstrates the application of piecewise regression to bedload data to define a shift in phase of transport so that the reader may perform similar analyses on available data. The use of piecewise regression analysis implicitly recognizes different functions fit to bedload data over varying ranges of flow. The transition from primarily low rates of sand transport (Phase I) to higher rates of sand and coarse gravel transport (Phase II) is termed "breakpoint" and is defined as the flow where the fitted functions intersect. The form of the model used here fits linear segments to different ranges of data, though other types of functions may be used. Identifying the transition in phases is one approach used for defining flow regimes that are essential for self-maintenance of alluvial gravel bed channels. First, the statistical theory behind piecewise regression analysis and its procedural approaches are presented. The reader is then guided through an example procedure and the code for generating an analysis in SAS is outlined. The results from piecewise regression analysis from a number of additional bedload datasets are presented to help the reader understand the range of estimated values and confidence limits on the breakpoint that the analysis provides. The identification and resolution of problems encountered in bedload datasets are also discussed. Finally, recommendations on a minimal number of samples required for the analysis are proposed."
Author: Sandra E. Ryan
Publisher:
ISBN:
Category : River sediments
Languages : en
Pages : 48
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Book Description
"This tutorial demonstrates the application of piecewise regression to bedload data to define a shift in phase of transport so that the reader may perform similar analyses on available data. The use of piecewise regression analysis implicitly recognizes different functions fit to bedload data over varying ranges of flow. The transition from primarily low rates of sand transport (Phase I) to higher rates of sand and coarse gravel transport (Phase II) is termed "breakpoint" and is defined as the flow where the fitted functions intersect. The form of the model used here fits linear segments to different ranges of data, though other types of functions may be used. Identifying the transition in phases is one approach used for defining flow regimes that are essential for self-maintenance of alluvial gravel bed channels. First, the statistical theory behind piecewise regression analysis and its procedural approaches are presented. The reader is then guided through an example procedure and the code for generating an analysis in SAS is outlined. The results from piecewise regression analysis from a number of additional bedload datasets are presented to help the reader understand the range of estimated values and confidence limits on the breakpoint that the analysis provides. The identification and resolution of problems encountered in bedload datasets are also discussed. Finally, recommendations on a minimal number of samples required for the analysis are proposed."
Author: Laurie S. Porth
Publisher: CreateSpace
ISBN: 9781511613958
Category :
Languages : en
Pages : 46
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Book Description
This tutorial demonstrates the application of piecewise regression to bedload data to define a shift in phase of transport so that the reader may perform similar analyses on available data. The use of piecewise regression analysis implicitly recognizes different functions fit to bedload data over varying ranges of flow. The transition from primarily low rates of sand transport (Phase I) to higher rates of sand and coarse gravel transport (Phase II) is termed "breakpoint" and is defined as the flow where the fitted functions intersect. The form of the model used here fits linear segments to different ranges of data, though other types of functions may be used. Identifying the transition in phases is one approach used for defining flow regimes that are essential for self-maintenance of alluvial gravel bed channels. First, the statistical theory behind piecewise regression analysis and its procedural approaches are presented. The reader is then guided through an example procedure and the code for generating an analysis in SAS is outlined. The results from piecewise regression analysis from a number of additional bedload datasets are presented to help the reader understand the range of estimated values and confidence limits on the breakpoint that the analysis provides. The identification and resolution of problems encountered in bedload datasets are also discussed. Finally, recommendations on a minimal number of samples required for the analysis are proposed.
Author: Kaveh Sheibani
Publisher: ORLAB Analytics
ISBN:
Category : Business & Economics
Languages : en
Pages : 564
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Book Description
These proceedings gather contributions presented at the 2nd International Conference on Applied Operational Research (ICAOR 2010) in Turku, Finland, August 25-27, 2010, published in the series Lecture Notes in Management Science (LNMS). The conference covers all aspects of Operational Research and Management Science (OR/MS) with a particular emphasis on applications.
Author:
Publisher:
ISBN:
Category : Forests and forestry
Languages : en
Pages : 172
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Book Description
Author:
Publisher:
ISBN:
Category : Forests and forestry
Languages : en
Pages : 48
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Book Description
Author: Aalok Ranjan Chaurasia
Publisher: Springer Nature
ISBN: 9813292121
Category : Social Science
Languages : en
Pages : 257
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Book Description
This book addresses central issues related to population and sustainable development in India, the second most populous country in the world. Using the latest available source of data in the context of the United Nations 2030 Sustainable Development Agenda, it analyzes the current state of development in India in terms of economic growth, social inclusion, and environmental protection, especially focusing on the role of population. The respective chapters explore various aspects, but mainly focus on promoting greater sustainability in terms of population growth, child survival, and economic growth. As such, the book will be of interest to students, researchers, and policymakers in the fields of population studies, economics, and international development.
Author: Marta MesÃas
Publisher: MDPI
ISBN: 3036500308
Category : Science
Languages : en
Pages : 156
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Book Description
The European Food Safety Agency (EFSA) has identified acrylamide as a public health concern due to its relation with the appearance of different types of cancer, and continued efforts are required to reduce exposure to acrylamide (EFSA, 2015). During the last few years, EFSA has maintained a high level of supervision to monitor the acrylamide levels in processed products, urging companies to implement effective mitigation strategies for reducing formation of this contaminant. Recently, the European Commission has published a regulation that sets mitigation measures for the reduction of this compound in foods, identifying new benchmark levels for a number of food categories (European Commission, 2017). The Regulation 2158/2017 compels food processors and food business operators in Europe to reduce the presence of acrylamide in their products, applying measures proportionate to the size and nature of the establishments. With the goal of providing information that contributes to our understanding for this process contaminant and exposure through dietary routes, this Special Issue explores the recent advances on the study of acrylamide in foods, including novel insights into the chemistry of its formation and elimination, effective mitigation strategies, conventional and innovative monitoring techniques, risk/benefit approaches, and exposure assessment.
Author:
Publisher:
ISBN:
Category : Zoology
Languages : en
Pages : 520
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Book Description
Author: James K. Lindsey
Publisher: Springer Science & Business Media
ISBN: 038722730X
Category : Mathematics
Languages : en
Pages : 265
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Book Description
This book describes how generalised linear modelling procedures can be used in many different fields, without becoming entangled in problems of statistical inference. The author shows the unity of many of the commonly used models and provides readers with a taste of many different areas, such as survival models, time series, and spatial analysis, and of their unity. As such, this book will appeal to applied statisticians and to scientists having a basic grounding in modern statistics. With many exercises at the end of each chapter, it will equally constitute an excellent text for teaching applied statistics students and non- statistics majors. The reader is assumed to have knowledge of basic statistical principles, whether from a Bayesian, frequentist, or direct likelihood point of view, being familiar at least with the analysis of the simpler normal linear models, regression and ANOVA.
Author: Pierre Soille
Publisher: Springer Science & Business Media
ISBN: 3662039397
Category : Science
Languages : en
Pages : 322
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Book Description
The book is self-contained in the sense that it is accessible to engineers, scientists, and practitioners having no prior experience with morphology. In addition, most necessary background notions about digital image processing are covered. The emphasis being put on the techniques useful for solving practical problems rather than the theory underlying mathematical morphology, no special knowledge about set theory and topology is required. Nevertheless, the book goes well beyond an introduction to mathematical morphology. Indeed, starting from the fundamental transformations, more elaborate methods which have proven their practical usefulness are explained. This is achieved through a step by step process pursued until the most recent advances.
