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Challenges to Mean-Based Analysis in Psychology: The Contrast Between Individual People and General Science

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Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889450435 Year: Pages: 114 DOI: 10.3389/978-2-88945-043-5 Language: English
Publisher: Frontiers Media SA
Subject: Science (General) --- Psychology
Added to DOAB on : 2018-02-27 16:16:44
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In a recent paper we (Speelman & McGann, 2013) argued that psychology’s reliance on data analysis methods that are based on group averages has resulted in a science of group phenomena that may be misleading about the nature of and reasons for individual behaviour. The paper highlighted a tension between a science in search of general laws on the one hand, and the individual, variable, and diverse nature of human behaviour on the other. This Research Topic explored this concern about the pitfalls of using the mean for the basis of psychological science. The problem is universal in its applicability to psychology, and opinion papers, reviews, and original empirical research from all areas of the discipline were invited. A total of 16 authors contributed 9 articles to the Topic. The range of issues that the authors viewed through the lens provided is impressive. The papers in this collection include a range of perspectives that provide concrete examples of how to approach research design, data collection, and analysis differently. No one contribution will provide a solution to our multifarious challenges, but nor should it. Our subject matter is complex and subtle, our investigations and methodological techniques will need to be equally so.

Keywords

mean --- Average --- variability --- inference --- groups --- Individuals

Finance Against Poverty: Volume 2

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ISBN: 9780203978924 9780415124300 9780415124317 9781134803781 9781134803774 9781134803736 Year: DOI: 10.4324/9780203978924 Language: English
Publisher: Taylor & Francis
Subject: Business and Management --- Economics
Added to DOAB on : 2019-11-08 11:21:24
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Over the last decade, the theory that poverty in the world's poorest regions could be alleviated by providing small loans to micro-entrepreneurs has become increasingly popular. This volume examines the effectiveness of this theory when put into practice. The book presents empirical evidence drawn from comparative experiences in seven developing countries and produces some startling conclusions. This work should be essential reading for all those interested in development, poverty-reduction, social welfare and finance. Volume One provides a detailed analysis of this theory and offers policy recommendations for practitioners in the field.

Keywords

average --- loan --- size --- grameen --- bank --- rural --- credit --- market --- financial --- institutions

Classical Trade Protectionism 1815-1914

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Book Series: Routledge Explorations in Economic History ISBN: 9780203698860 9780415352260 9780415493543 9781134262960 9781134262953 9781134262915 Year: DOI: 10.4324/9780203698860 Language: English
Publisher: Taylor & Francis
Subject: Business and Management --- Economics
Added to DOAB on : 2019-11-08 11:21:28
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Including contributions from such figures as Douglas Irwin, James Foreman-Peck, Kevin O'Rourke and Max-Stefan-Schulze, this key book summarizes the recent empirical research carried out on the issue of the classical period of trade protectionism. It provides a basis for revising widely held views on the standard effects of tariffs on economic structures and progress, as well as a historical perspective on recent developments. Long-held views on modern trade policies have been challenged by the introduction of recent theoretical developments in international economics and in measurement techniques brought about in the 1960s and 70s. One question in particular has attracted attention and has contributed to the bringing to light of a number of previously ignored measurement and interpretation problems: the assessment of French and British nineteenth century trade policies. This noteworthy volume examines the theoretical and practical problems associated with the assessment and measurement of the direct impact of tariffs, prohibitions and quotas on domestic prices, output structure and competitiveness. The contributors also examine the direct and long-run consequences of protectionist measures on particular economies, utilizing evidence from in-depth investigations of trade statistics as well as ‘best practice’ statistical techniques such as effective protection, elasticity of demand and revealed comparative advantage.

Keywords

average --- tariff --- revenue --- policy --- rates --- level --- valorem --- rif --- corn --- laws

Hybrid Advanced Techniques for Forecasting in Energy Sector

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ISBN: 9783038972907 9783038972914 Year: Pages: 250 DOI: 10.3390/books978-3-03897-291-4 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Computer Science --- General and Civil Engineering
Added to DOAB on : 2018-10-19 10:39:42
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Accurate forecasting performance in the energy sector is a primary factor in the modern restructured power market, accomplished by any novel advanced hybrid techniques. Particularly in the Big Data era, forecasting models are always based on a complex function combination, and energy data are always complicated by factors such as seasonality, cyclicity, fluctuation, dynamic nonlinearity, and so on. To comprehensively address this issue, it is insufficient to concentrate only on simply hybridizing evolutionary algorithms with each other, or on hybridizing evolutionary algorithms with chaotic mapping, quantum computing, recurrent and seasonal mechanisms, and fuzzy inference theory in order to determine suitable parameters for an existing model. It is necessary to also consider hybridizing or combining two or more existing models (e.g., neuro-fuzzy model, BPNN-fuzzy model, seasonal support vector regression–chaotic quantum particle swarm optimization (SSVR-CQPSO), etc.). These advanced novel hybrid techniques can provide more satisfactory energy forecasting performances.This book aimed to attract researchers with an interest in the research areas described above. Specifically, we were interested in contributions towards recent developments, i.e., hybridizing or combining any advanced techniques in energy forecasting, with the superior capabilities over the traditional forecasting approaches, with the ability to overcome some embedded drawbacks, and with the very superiority to achieve significant improved forecasting accuracy.

Ensemble Forecasting Applied to Power Systems

Authors: ---
ISBN: 9783039283125 9783039283132 Year: Pages: 134 DOI: 10.3390/books978-3-03928-313-2 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2020-04-07 23:07:09
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Modern power systems are affected by many sources of uncertainty, driven by the spread of renewable generation, by the development of liberalized energy market systems and by the intrinsic random behavior of the final energy customers. Forecasting is, therefore, a crucial task in planning and managing modern power systems at any level: from transmission to distribution networks, and in also the new context of smart grids. Recent trends suggest the suitability of ensemble approaches in order to increase the versatility and robustness of forecasting systems. Stacking, boosting, and bagging techniques have recently started to attract the interest of power system practitioners. This book addresses the development of new, advanced, ensemble forecasting methods applied to power systems, collecting recent contributions to the development of accurate forecasts of energy-related variables by some of the most qualified experts in energy forecasting. Typical areas of research (renewable energy forecasting, load forecasting, energy price forecasting) are investigated, with relevant applications to the use of forecasts in energy management systems.

Multiple-Criteria Decision-Making (MCDM) Techniques for Business Processes Information Management

Authors: --- ---
ISBN: 9783038976424 Year: Pages: 320 DOI: 10.3390/books978-3-03897-643-1 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-03-08 11:42:05
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Information management is a common paradigm in modern decision-making. A wide range of decision-making techniques have been proposed in the literature to model complex business and engineering processes. In this Special Issue, 16 selected and peer-reviewed original research articles contribute to business information management in various current real-world problems by proposing crisp or uncertain multiple-criteria decision-making (MCDM) models and techniques, mostly including multi-attribute decision-making (MADM) approaches, in addition to a single paper proposing an interactive multi-objective decision-making (MODM) approach. Particular attention is devoted to information aggregation operators; 65% of papers dealt with this item. The topics of this Special Issue gained attention in Europe and Asia. A total of 48 authors from seven countries contributed to this Issue. The papers are mainly concentrated in three application areas: supplier selection and rational order allocation, the evaluation and selection of goods or facilities, and personnel selection/partner selection. A number of new approaches are proposed that are expected to attract great interest from the research community.

Keywords

multi-criteria decision-making --- group decision-making --- subcontractor evaluation --- MCDM --- MADM --- fuzzy sets --- fuzzy EDAS --- multi-attribute decision making --- projection model --- bi-directional projection model --- Pythagorean uncertain linguistic variable --- rough number --- rough weighted aggregated sum product assessment (WASPAS) --- rough analytical hierarchical process (AHP) --- multiple criteria decision making (MCDM) --- supplier --- supplier selection --- order allocation --- multiobjective optimization --- interactive approach --- desirability function --- Pythagorean fuzzy set --- Muirhead mean --- multiple criteria group decision-making --- multiple attributes decision-making --- group decision-making --- unbalanced linguistic set --- prioritized average operator --- maximizing deviation model --- Pythagorean fuzzy set --- Muirhead mean --- interaction operational laws --- multi-attribute group decision-making --- green supplier --- rough ANP --- trapezoidal fuzzy number --- rough boundary interval --- evidence theory --- trust interval --- multiple attribute decision making --- linguistic cubic variable --- Dombi operations --- linguistic cubic variable Dombi weighted arithmetic average (LCVDWAA) operator --- linguistic cubic variable Dombi weighted geometric average (LCVDWGA) operator --- single-valued linguistic neutrosophic interval linguistic number --- score function --- weighted aggregation operator --- decision making --- multiple attribute decision making --- nonnegative normal neutrosophic number --- aggregation operator --- multi-criteria decision-making --- multi-hesitant fuzzy sets --- aggregation operators --- hesitant probabilistic fuzzy element (HPFE) --- Einstein operations --- hesitant probabilistic fuzzy Einstein aggregation operators --- multiple attribute decision making (MADM). --- ANFIS --- warehouse --- queuing systems --- logistics --- uncertain group decision-making support systems --- multiple criteria decision-making --- reliable group decision-making --- interval multiplicative preference relations --- rough sets --- binary discernibility matrices --- deterministic finite automata --- multiple-criteria decision-making (MCDM) --- multi-attribute decision-making (MADM) --- fuzzy sets --- neutrosophic sets --- rough sets --- aggregation operators --- adaptive neuro-fuzzy inference system (ANFIS)

Distributed Energy Resources Management

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ISBN: 9783038977186 Year: Pages: 236 DOI: 10.3390/books978-3-03897-719-3 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Physics (General) --- Science (General)
Added to DOAB on : 2019-03-21 15:50:41
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At present, the impact of distributed energy resources in the operation of power and energy systems is unquestionable at the distribution level, but also at the whole power system management level. Increased flexibility is required to accommodate intermittent distributed generation and electric vehicle charging. Demand response has already been proven to have a great potential to contribute to an increased system efficiency while bringing additional benefits, especially to the consumers. Distributed storage is also promising, e.g., when jointly used with the currently increasing use of photovoltaic panels. This book addresses the management of distributed energy resources. The focus includes methods and techniques to achieve an optimized operation, to aggregate the resources, namely, by virtual power players, and to remunerate them. The integration of distributed resources in electricity markets is also addressed as a main drive for their efficient use.

Keywords

ac/dc hybrid microgrid --- adaptive droop control --- autonomous operation --- distributed generation --- energy management system --- aggregator --- optimal bidding --- electricity markets --- probabilistic programming --- microgrid --- uncertainty --- hierarchical game --- non-cooperative game (NCG) --- energy trading --- pricing strategy --- demand response --- distributed generation --- microgrid --- real-time simulation --- consensus algorithm --- diffusion strategy --- distributed system --- energy management system --- microgrid operation --- optimal operation --- microgrids --- renewable energy --- storage --- scheduling --- co-generation --- decision-making under uncertainty --- domestic energy management system --- energy flexibility --- interval optimization --- stochastic programming --- Unit Commitment (UC) --- Demand Response (DR) --- Demand Response Unit Commitment (DRUC) --- Cat Swarm Optimization (CSO) --- average consensus algorithm (ACA) --- black start --- local controller --- microgrid (MG) --- multi-agent system (MAS) --- power system restoration (PSR) --- demand-side energy management --- multiplier method --- Powell direction acceleration method --- advance and retreat method --- thermal comfort --- transmission line --- fault localization --- time series --- ARIMA --- discrete wavelet transformer --- demand response --- virtual power plant --- energy flexibility potential --- aggregators --- business model --- building energy flexibility --- aggregator --- clustering --- demand response --- distributed generation

Autonomous Control of Unmanned Aerial Vehicles

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ISBN: 9783039210305 9783039210312 Year: Pages: 270 DOI: 10.3390/books978-3-03921-031-2 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-06-26 08:44:06
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Unmanned aerial vehicles (UAVs) are being increasingly used in different applications in both military and civilian domains. These applications include surveillance, reconnaissance, remote sensing, target acquisition, border patrol, infrastructure monitoring, aerial imaging, industrial inspection, and emergency medical aid. Vehicles that can be considered autonomous must be able to make decisions and react to events without direct intervention by humans. Although some UAVs are able to perform increasingly complex autonomous manoeuvres, most UAVs are not fully autonomous; instead, they are mostly operated remotely by humans. To make UAVs fully autonomous, many technological and algorithmic developments are still required. For instance, UAVs will need to improve their sensing of obstacles and subsequent avoidance. This becomes particularly important as autonomous UAVs start to operate in civilian airspaces that are occupied by other aircraft. The aim of this volume is to bring together the work of leading researchers and practitioners in the field of unmanned aerial vehicles with a common interest in their autonomy. The contributions that are part of this volume present key challenges associated with the autonomous control of unmanned aerial vehicles, and propose solution methodologies to address such challenges, analyse the proposed methodologies, and evaluate their performance.

Advanced DSP Techniques for High-Capacity and Energy-Efficient Optical Fiber Communications

Authors: ---
ISBN: 9783039217922 9783039217939 Year: Pages: 150 DOI: 10.3390/books978-3-03921-793-9 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2020-01-07 09:08:26
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The rapid proliferation of the Internet has been driving communication networks closer and closer to their limits, while available bandwidth is disappearing due to an ever-increasing network load. Over the past decade, optical fiber communication technology has increased per fiber data rate from 10 Tb/s to exceeding 10 Pb/s. The major explosion came after the maturity of coherent detection and advanced digital signal processing (DSP). DSP has played a critical role in accommodating channel impairments mitigation, enabling advanced modulation formats for spectral efficiency transmission and realizing flexible bandwidth. This book aims to explore novel, advanced DSP techniques to enable multi-Tb/s/channel optical transmission to address pressing bandwidth and power-efficiency demands. It provides state-of-the-art advances and future perspectives of DSP as well.

Building Thermal Envelope

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ISBN: 9783039285181 9783039285198 Year: Pages: 244 DOI: 10.3390/books978-3-03928-519-8 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Construction --- General and Civil Engineering --- Technology (General)
Added to DOAB on : 2020-04-07 23:07:09
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This book results from a Special Issue published in Energies, entitled “Building Thermal Envelope"". Its intent is to identify emerging research areas within the field of building thermal envelope solutions and contribute to the increased use of more energy-efficient solutions in new and refurbished buildings. Its contents are organized in the following sections: Building envelope materials and systems envisaging indoor comfort and energy efficiency; Building thermal and energy modelling and simulation; Lab test procedures and methods of field measurement to assess the performance of materials and building solutions; Smart materials and renewable energy in building envelope; Adaptive and intelligent building envelope; and Integrated building envelope technologies for high performance buildings and cities.

Keywords

hybrid heat collecting facade (HHCF) --- passive solar building --- heat transfer model --- thermal performance --- heat transfer --- energy --- thermosyphon --- natural circulation loop --- thermal resistance --- thermal transmittance --- heat flow meter method --- average method --- convergence characteristics --- opaque exterior wall --- hot box --- thermal models --- measuring and control system --- digital temperature probes --- data post-processing --- roof window --- thermal performance --- passive building --- building component development --- natural ventilation --- air environment --- school restroom --- awning window --- CFD --- thermal anisotropy --- building envelope --- thermal management --- energy efficiency --- peak load reduction --- window thermal performance --- U-value --- window type --- simulation performance test --- actual physical performance test --- heat transfer --- energy --- thermosyphon --- natural circulation loop --- expanded polystyrene (EPS) --- gray polystyrene --- artificial sun --- thermographic measurement --- temperature distribution --- cork --- energy retrofitting --- life cycle assessment --- life cycle costs --- thermal insulating rendering mortar --- Building Information Modeling --- cloud-based --- envelope thermal performance --- green buildings --- Green Mark --- Integrated Digital Delivery (IDD) --- traditional Diyarbak?r houses --- courtyard --- settlement --- Designbuilder simulation --- energy performance --- n/a

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