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Books on the topic 'Predictive model accuracy'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

Moses, O. Douglas. Learning curve and rate adjustment models: Comparative prediction accuracy under varying conditions. Naval Postgraduate School, 1990.

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2

Clark, Todd E. Approximately normal tests for equal predictive accuracy in nested models. Research Division, Federal Reserve Bank of Kansas City, 2005.

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3

Rauscher, Harold M. The microcomputer scientific software series 4: Testing prediction accuracy. U.S. Dept. of Agriculture, Forest Service, North Central Forest Experiment Station, 1986.

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4

Trevits, M. A. An accurate, user-friendly subsidence prediction model for personal computers. s.n, 1987.

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5

Model Predictive Control for AC Motors: Robustness and Accuracy Improvement Techniques. Springer, 2023.

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6

Gong, Chao, Yaofei Han, and Jinqiu Gao. Model Predictive Control for AC Motors: Robustness and Accuracy Improvement Techniques. Springer Singapore Pte. Limited, 2022.

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7

Anderson, Mark, Francois Hemez, and Scott Doebling. Model Verification and Validation in Engineering Mechanics: Theory and Applications of Uncertainty Quantification and Predictive Accuracy. John Wiley & Sons, 2005.

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8

Model Verification and Validation in Engineering Mechanics: Theory and Applications of Uncertainty Quantification and Predictive Accuracy. Wiley & Sons, Limited, John, 2004.

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9

Thompson, Summer L., and Stephanie C. Dulawa. Pharmacological and Behavioral Rodent Models of OCD. Edited by Christopher Pittenger. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228163.003.0035.

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Obsessive-compulsive disorder (OCD) is a severe psychiatric disorder characterized by obsessions and/or compulsions. Only half of patients respond to first-line pharmacological treatments, and symptom relief is typically partial, even in responders. Gaining a better understanding of OCD etiology could lead to better treatments, and potentially to prevention. Animal models are a useful tool for studying neurobiological mechanisms underlying psychiatric phenotypes. Effective use of animal models requires identification of reliable, quantifiable features of the disorder of interest that can be me

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10

Methods for evaluating the predictive accuracy of structural dynamic models: Final report. The Administration, 1991.

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11

An Analysis of the Prediction Accuracy of the U.S Navy Repair Turn- Around Time Forecast Model. Storming Media, 2003.

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12

Jansons, Ernests. Influence of Humidity, Air and Ice Temperature on Sliding Ability Characteristics of Friction Pair Stainless Steel-ice. RTU Press, 2022. http://dx.doi.org/10.7250/9789934227240.

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The influence of environmental parameters (air humidity, air and ice temperature) on the friction pair stainless steel-ice sliding ability is studied in the dissertation. Based on empirical measurements, a sliding time prediction model, depending on environmental conditions and measurement and prediction methodology, was developed. The texture and mechanical properties of the ice surface and the surface texture of steel samples were studied. The macrogeometry of the experimental samples was measured, the factors influencing the measurement accuracy in on-field experiments were analysed, and th

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13

Boken, Vijendra K., Arthur P. Cracknell, and Ronald L. Heathcote. Monitoring and Predicting Agricultural Drought. Oxford University Press, 2005. http://dx.doi.org/10.1093/oso/9780195162349.001.0001.

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Agricultural droughts affect whole societies, leading to higher food costs, threatened economies, and even famine. In order to mitigate such effects, researchers must first be able to monitor them, and then predict them; however no book currently focuses on accurate monitoring or prediction of these devastating kinds of droughts. To fill this void, the editors of Monitoring and Predicting Agricultural Drought have assembled a team of expert contributors from all continents to make a global study, describing biometeorological models and monitoring methods for agricultural droughts. These models

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14

Corfield, David. Modal Homotopy Type Theory. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198853404.001.0001.

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In[KF1] 1914, in an essay entitled ‘Logic as the Essence of Philosophy’, Bertrand Russell promised to revolutionize philosophy by introducing there the ‘new logic’ of Frege and Peano: “The old logic put thought in fetters, while the new logic gives it wings.” A century later, this book proposes a comparable revolution with a newly emerging logic, modal homotopy type theory. Russell’s prediction turned out to be accurate. Frege’s first-order logic, along with its extension to modal logic, is to be found throughout anglophone analytic philosophy. This book provides a considerable array of eviden

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15

Steinhauser, Karen E., and James A. Tulsky. Defining a ‘good’ death. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199656097.003.0008.

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Although any outcome of an advanced illness can be predicted, in palliative care settings the word ‘prognosis’ usually means the estimated time to death. Prognosis is an important but challenging set of clinical skills for palliative medicine clinicians to master. It is important because patients and families want to know what to expect, it influences clinical decision-making, and it may determine eligibility for services. It is challenging because of the inherent uncertainty of making predictions and because dying is not an easy topic to discuss. Advances in statistical computing have allowed

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16

Mehta, Dutt, and Eric Prommer. Factors Associated with Outcomes of Cardiopulmonary Resuscitation (DRAFT). Edited by Nathan A. Gray and Thomas W. LeBlanc. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190658618.003.0049.

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Failed in-hospital resuscitations consume substantial health care resources. Accurate prediction of who will survive an in-hospital arrest is difficult. Identifying pre arrest factors associated with poor resuscitation outcomes facilitates and enhances cardiopulmonary resuscitation (CPR) discussions. Using a large CPR database, several preexisting factors associated with poor CPR outcome were identified and analyzed using statistical methods. The statistical model identifies factors associated with poor outcomes such as black race, advancing age, and multiple pre-existing conditions using the

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17

Cook, Kerry H. Climate Change Scenarios and African Climate Change. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.545.

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Accurate projections of climate change under increasing atmospheric greenhouse gas levels are needed to evaluate the environmental cost of anthropogenic emissions, and to guide mitigation efforts. These projections are nowhere more important than Africa, with its high dependence on rain-fed agriculture and, in many regions, limited resources for adaptation. Climate models provide our best method for climate prediction but there are uncertainties in projections, especially on regional space scale. In Africa, limitations of observational networks add to this uncertainty since a crucial step in i

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18

Nozière, Pierre. INRA feeding system for ruminants. Edited by Daniel Sauvant and Luc Delaby. Wageningen Academic Publishers, 2018. http://dx.doi.org/10.3920/978-90-8686-872-8.

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The INRA Feeding System for Ruminants has been renewed to better address emerging challenges for animal nutrition: prevision of productive responses, product quality, animal health and emissions to the environment, in a larger extent of breeding contexts. The new system is mainly built from meta-analyses of large data bases, and modelling. The dietary supply model accounts for digestive interactions and flows of individual nutrients, so that feed values depend on the final ration. Animal requirements account for variability in metabolic efficiency. Various productive and non-productive animal

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19

Schelbert, Heinrich R. Image-Based Measurements of Myocardial Blood Flow. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199392094.003.0024.

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Image-based measurements of myocardial blood flow afford the assessment of coronary circulatory function. They reflect functional consequences of coronary stenoses, diffuse epicardial vessel disease and microvascular dysfunction and structural changes and thus provide a measure of the total ischemic burden. Measured flows contain therefore clinically important predictive information. Fundamental to flow measurements are the tissue tracer kinetics, their description through tracer kinetic models, high spatial and temporal resolution imaging devices and accurate extraction of radiotracer tissue

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20

Cosyns, Bernard, Thor Edvardsen, Krasimira Hristova, and Hyung-Kwan Kim. Left ventricle: systolic function. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198726012.003.0020.

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The assessment of left ventricular (LV) systolic function is one of the most important parts of correct diagnosis, selection of treatment strategy or medications, and prediction of prognosis. Although cardiac magnetic resonance imaging is generally accepted as the gold standard in vivo imaging modality for assessing LV systolic function, its practical use is limited due to its limited availability, high cost, and the presence of conditions precluding its performance such as a pacemaker, claustrophobia, and severe arrhythmia. Thus, transthoracic echocardiography is a first-line imaging modality

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21

Multiphase Flow Internal Corrosion Direct Assessment (MP-ICDA) Methodology for Pipelines. AMPP, 2022. https://doi.org/10.5006/nace_sp0116-2022.

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Scope This standard practice outlines a methodology to assess pipeline integrity because of the threat internal corrosion in onshore and offshore pipelines and other piping systems that normally carry multiphase fluids (gas, water, and oil) termed multiphase flow internal corrosion direct assessment (MP-ICDA). Liquid separators (drips), compressing stations, vessels, and other equipment not related to pipelines are not included in this standard. This standard applies to pipelines, and piping systems both onshore and offshore, containing carbon dioxide (CO2), hydrogen sulfide (H2S), oxygen (O2)

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