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1

Gavin, William T. A common model approach to macroeconomics: Using panel data to reduce sampling error. Federal Reserve Bank of St. Louis, 2003.

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2

Grassini, Maurizio, and Rossella Bardazzi, eds. Structural changes, international trade and multisectoral modelling. Firenze University Press, 2008. http://dx.doi.org/10.36253/978-88-8453-740-9.

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In September 2007 the national team members of the International Inforum (Interindustry Forecasting Project at the University of Maryland) group held the XV annual World Conference in Truijllo, Spain. Such Conferences offer the participants to report their achievements in the different fields concerning the macroeconomic multisectoral modeling approach and data development. The national partners build their country model based on a common input-output accounting structure and a similar econometric modeling approach for sectoral and macroeconomic variables. In each Conference, the contributions
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3

Jaworski, Barbara, Josef Rebenda, Reinhard Hochmuth, et al. Inquiry in University Mathematics Teaching and Learning. Masaryk University Press, 2021. http://dx.doi.org/10.5817/cz.muni.m210-9983-2021.

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The book presents developmental outcomes from an EU Erasmus+ project involving eight partner universities in seven countries in Europe. Its focus is the development of mathematics teaching and learning at university level to enhance the learning of mathematics by university students. Its theoretical focus is inquiry-based teaching and learning. It bases all activity on a three-layer model of inquiry: (1) Inquiry in mathematics and in the learning of mathematics in lecture, tutorial, seminar or workshop, involving students and teachers; (2) Inquiry in mathematics teaching involving teachers exp
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4

Designing a Common Interchange Format for Unit Data Using the Command and Control Information Exchange Data Model (C2IEDM) and XSLT. Storming Media, 2004.

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5

Munn, Michael, Sara Robinson, and Valliappa Lakshmanan. Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps. O'Reilly Media, Incorporated, 2020.

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6

Chance, Kelly, and Randall V. Martin. Data Fitting. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199662104.003.0011.

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This chapter explores several of the most common and useful approaches to atmospheric data fitting as well as the process of using air mass factors to produce vertical atmospheric column abundances from line-of-sight slant columns determined by data fitting. An atmospheric spectrum or other type of atmospheric sounding is usually fitted to a parameterized physical model by minimizing a cost function, usually chi-squared. Linear fitting, when the model of the measurements is linear in the model parameters is described, followed by the more common nonlinear fitting case. For nonlinear fitting, t
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7

Cheng, Russell. Embedded Model Problem. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198505044.003.0005.

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This chapter introduces embedded models. This is a special case of a parametric model which cannot be obtained simply by setting the parameters to particular values in a simple way. An example is the regression function y = b[1−exp(−ax)], which is always curved when a and b have fixed values. But letting a tend to zero and b tend to infinity simultaneously, whilst keeping ab = c fixed, yields y = cx, a straight-line special case. When this is the true model, fitting the original two-parameter model leads to very unstable and individually meaningless estimates of a and b. Such embedded models a
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8

Brazier, John, Julie Ratcliffe, Joshua A. Salomon, and Aki Tsuchiya. Design and analysis of health state valuation data for model-based economic evaluations and for economic evaluations alongside clinical trials. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198725923.003.0009.

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This chapter focuses upon the needs of two approaches, economic evaluations based on decision analytic models, and those alongside clinical trials in terms of the collection and analysis of health state values. The first section of the chapter presents requirements that are likely to be common to any study in which health state values are collected from patients and/or members of the general population, including: who to ask, mode of administration, timing of assessments, sample size, and handling uncertainty. The second section of the chapter considers issues specific to trial-based economic
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9

Lattman, Eaton E., Thomas D. Grant, and Edward H. Snell. Shape Reconstructions from Small Angle Scattering Data. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199670871.003.0004.

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This chapter discusses recovering shape or structural information from SAXS data. Key to any such process is the ability to generate a calculated intensity from a model, and to compare this curve with the experimental one. Models for the particle scattering density can be approximated as pure homogenenous geometric shapes. More complex particle surfaces can be represented by spherical harmonics or by a set of close-packed beads. Sometimes structural information is known for components of a particle. Rigid body modeling attempts to rotate and translate structures relative to one another, such t
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10

Cai, Zongwu. Functional Coefficient Models for Economic and Financial Data. Edited by Frédéric Ferraty and Yves Romain. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199568444.013.6.

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This article discusses the use of functional coefficient models for economic and financial data analysis. It first provides an overview of recent developments in the nonparametric estimation and testing of functional coefficient models, with particular emphasis on the kernel local polynomial smoothing method, before considering misspecification testing as an important econometric question when fitting a functional (varying) coefficient model or a trending time-varying coefficient model. It then describes two major real-life applications of functional coefficient models in economics and finance
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11

Adamson, Gary, and Brendan Bunting. Some statistical and graphical strategies for exploring the effect of interventions in health research. Oxford University Press, 2015. http://dx.doi.org/10.1093/med:psych/9780198527565.003.0021.

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This chapter explores statistical and graphical strategies for exploring the effect of interventions in health research and presents a brief overview of some common and some not so common methods for assessing data from interventions and have pointed to some associated advantages and disadvantages. It discusses gain scores, analysis of variance models, structural equation modelling, and the latent growth model.
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12

Keel, Pamela K., and Lauren A. Holland. Eating Disorders. Edited by C. Steven Richards and Michael W. O'Hara. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199797004.013.017.

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This chapter examines patterns of comorbidity between eating disorders and mood, anxiety, and substance use disorders along with evidence regarding support for different theoretical models that may account for these patterns. Although comorbidity estimates may be inflated by reliance on treatment-seeking samples and double counting of symptoms that overlap between syndromes, evidence supports elevated risk of mood, anxiety, and substance use disorders in anorexia nervosa, bulimia nervosa, and binge eating disorder. Data from family and twin studies support that eating and anxiety disorders may
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13

Essington, Timothy E. Introduction to Quantitative Ecology. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780192843470.001.0001.

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Modern practice of ecology, conservation, and resource management demands unprecedented levels of quantitative proficiency in mathematical modeling and statistics. This text provides foundational training in the concepts and methods of mathematical and statistical modeling used in ecology, for readers with all levels of quantitative proficiency and confidence. The first chapter presents a generalized approach to develop ecological models and introduces the “describe, explain, and interpret” framework for linking the model world to the real world. Detailed treatment of population models illustr
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14

Boland, Lawrence A. Equilibrium models intended to overcome limits. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190274320.003.0011.

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This chapter will critically examine today’s common ways to build equilibrium models. These specifically include Dynamic-Stochastic General Equilibrium models, game theoretical models and empirical GE models. Each of these types of equilibrium model try to address the issues of how a model’s decision makers get the information needed to guarantee the attainment of a state of equilibrium. The chapter addresses the alleged limits of general equilibrium models (particularly the issues of dynamics, time and expectations), the current attempts to overcome the limits of general equilibrium models, a
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15

Lægreid, Per. New Public Management. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228637.013.159.

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New Public Management (NPM) reforms have been around in many countries for over the past 30 years. NPM is an ambiguous, multifaceted, and expanded concept. There is not a single driving force behind it, but rather a mixture of structural and polity features, national historical-institutional contexts, external pressures, and deliberate choices from political and administrative executives. NPM is not the only show in town, and contextual features matter. There is no convergence toward one common NPM model, but significant variations exist between countries, government levels, policy areas, task
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16

Del Giudice, Marco. Evolutionary Psychopathology. Oxford University Press, 2018. http://dx.doi.org/10.1093/med-psych/9780190246846.001.0001.

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This book presents a unified approach to evolutionary psychopathology, and advances an integrative framework for the analysis and classification of mental disorders based on the concepts of life history theory. The framework does not aim to replace existing evolutionary models of specific disorders—which are reviewed and critically discussed in the book—but to connect them in a broader perspective and explain the large-scale patterns of risk and comorbidity that characterize psychopathology. The life history framework permits a seamless integration of mental disorders with normative individual
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17

Frey, Ulrich. Sustainable Governance of Natural Resources. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780197502211.001.0001.

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Natural resources are often overexploited. Nevertheless, there are counterexamples of sustainably using common-pool resources. This book analyses the most important factors influencing the management of natural resources. Hence, the important question—What makes some systems successful?—is answered in this book. Based on three of the world’s largest data sets on fisheries, forest management, and irrigation systems, success factors are empirically examined. The book presents a synthesis of twenty-four success factors that explain ecological success, such as participation possibilities. The anal
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18

Paris, Joel. Psychotherapy in An Age of Neuroscience. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190601010.001.0001.

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Psychiatry, once proud of its biopsychosocial model, has now adopted a neuroscience-based approach that strongly favors psychopharmacological treatments and downplays the role of psychotherapies (or social interventions). This kind of practice can be sufficient for the psychoses, but it is neither evidence-based nor beneficial for patients with common mental disorders such as depression, anxiety, substance use, and personality disorders. Current practice derives from a theoretical model in which psychiatry is viewed primarily as an application of neuroscience, with little reference to the vast
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19

McCleary, Richard, David McDowall, and Bradley J. Bartos. Internal Validity. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190661557.003.0007.

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Chapter 7 begins with an outline and description of five threats to internal validity common to time series designs: history, maturation, instrumentation, regression, and selection. Given the fundamental role of prediction in the modern scientific method, scientific hypotheses are necessarily causal. After an outline of the evolving definition of “causality” in the social sciences, contemporary Rubin causality or counterfactual causality is introduced. Under the assumption that subjects were randomly assigned to the treatment and control groups, Rubin’s causal model allows one to estimate the
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20

Anderson, Raymond A. Credit Intelligence & Modelling. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780192844194.001.0001.

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This book, “Forest Paths” for short, started as a detailed guide for the construction of predictive models for credit and other risk assessment, for use in big-bank retail lending. It became a textbook covering credit processes (from marketing through to fraud), bureau and rating agencies, and various tools. Included are detailed histories (economics, statistics, social science}, which much referencing. It is unique in the field, with chatpers’-end questions. The primary target market is corporate and academic, but much would be of interest to a broader audience. There are eight modules: 1) an
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21

Kortgen, Andreas, and Michael Bauer. Hepatic function in the critically ill. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0175.

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The liver with its parenchymal and non-parenchymal cells plays a key role in the organism with manifold functions of metabolism, synthesis, detoxification, excretion, and host response. This requires a portfolio of different tests to obtain an overview of hepatic function. In the critically ill hepatic dysfunction is common and potentially leading to extrahepatic organ dysfunctions culminating in multi-organ failure. Conventional laboratory measures are used to evaluate hepatocellular damage, cholestasis, or synthesis. They provide valuable (differential) diagnostic data and can yield prognost
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22

Wagner, Wolfgang. The Democratic Politics of Military Interventions. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198846796.001.0001.

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According to a widely shared notion, foreign affairs are exempted from democratic politics, i.e., party-political divisions are overcome—and should be overcome—for the sake of a common national interest. This book shows that this is not the case. Examining votes in the US Congress and several European parliaments, the book demonstrates that contestation over foreign affairs is barely different from contestation over domestic politics. Analyses of a new collection of deployment votes, of party manifestos, and of expert survey data show that political parties differ systematically over foreign p
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23

Spicer, Jason S. Co-operative Enterprise in Comparative Perspective. Oxford University PressNew York, 2024. http://dx.doi.org/10.1093/oso/9780197665077.001.0001.

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Abstract Co-operative businesses, which are democratically owned by their workers, customers, or suppliers, are rarer at scale in the United States than in most other rich democracies. Why? Despite the fact that co-operatives have long captured the interest of both American and international activists and social scientists alike, there has been scant effort to conduct systematic comparative analyses to answer this question. Offering the only rigorously designed comparative-historical analysis of how co-operative enterprise is institutionalized in different national contexts, this book draws on
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24

Zydroń, Tymoteusz. Wpływ systemów korzeniowych wybranych gatunków drzew na przyrost wytrzymałości gruntu na ścinanie. Publishing House of the University of Agriculture in Krakow, 2019. http://dx.doi.org/10.15576/978-83-66602-46-5.

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The aim of the paper was to determine the influence of root systems of chosen tree species found in the Polish Flysch Carpathians on the increase of soil shear strength (root cohesion) in terms of slope stability. The paper's goal was achieved through comprehensive tests on root systems of eight relatively common in the Polish Flysch Carpathians tree species. The tests that were carried out included field work, laboratory work and analytical calculations. As part of the field work, the root area ratio (A IA) of the roots was determined using the method of profiling the walls of the trench at a
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