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Books on the topic 'Prediction Accuracy'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

University of Texas at Austin. Construction Industry Institute. Improving Early Estimates Research Team., ed. Quantitative prediction of estimate accuracy. Construction Industry Institute, University of Texas at Austin, 1999.

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2

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

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3

Saleh, Muftah A. Distillation clear liquid and froth height prediction accuracy. UMIST, 1995.

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4

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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5

G, Sigari, Costi T, Michigan State University. Division of Engineering Research., and United States. National Aeronautics and Space Administration., eds. Effect of accuracy of wind power prediction on power system operator: Final report. College of Engineering, Michigan State University, 1985.

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6

Hanson, R. Karl. The accuracy of recidivism risk assessments for sexual offenders: A meta-analysis. Public Safety and Emergency Preparedness Canada, 2007.

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7

Alfred, Buch. Improvement of fatigue life prediction accuracy for various realistic loading spectra by use of correction factors. Technion-Israel Institute of Technology, Dept. of Aeronautical Engineering, 1985.

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8

Charuk, Kerry A. Accuracy in prediction of personality as a function of sex length of description, task order, and actual score. Laurentian University, Department of Psychology, 1985.

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9

Terlecki-Zaniewicz, Georg. Community evaluation of crowd-sourced ideas: An explorative study on how to improve the prediction accuracy of crowdsourcing communities. AV Akademikerverlag, 2017.

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10

A, Lipa John, and United States. National Aeronautics and Space Administration., eds. High accuracy thermal conductivity measurements near the lambda transition of helium with very high temperature resolution: Final report for NASA-FIR grant #NAG 2-276. National Aeronautics and Space Administration, 1989.

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11

Rich, Robert W. Modeling uncertainty: Predictive accuracy as a proxy for predictive confidence. Federal Reserve Bank of New York, 2003.

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12

Michael, Scott J., ed. Predicting species occurrences: Issues of accuracy and scale. Island Press, 2002.

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13

Center, Langley Research, ed. Numerical study of turbulence model predictions for the MD 30P/30N and NHLP-2D three-element highlift configurations. National Aeronautics and Space Administration, Langley Research Center, 1998.

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14

Elder, John F. (John Fletcher), ed. Ensemble methods in data mining: Improving accuracy through combining predictions. Morgan & Claypool Publishers, 2010.

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15

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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16

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

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17

Duffy, Colman. Variation in sporting self-construal; personal construct theory and the accuracy of predictions. The Author], 1995.

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18

1936-, Friesema H. Paul, and Beecher Janice A, eds. Forecasts and environmental decisionmaking: The content and predictive accuracy of environmental impact statements. Westview Press, 1987.

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19

Jones, Fiona. The accuracy of predicting functional reccovery in patients following a stroke: Psychotherapist and patient. University of Surrey, 1996.

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20

Raynor, Sally. Occupational therapy home assessments: Do they provide an accurate prediction of post discharge functional ability. Nene College, 1995.

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21

Filippini, Angela. Is the writing competency test an accurate predictor of future academic success? Laurentian University, Department of Sociology and Anthropology, 1995.

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22

Diemer, Sebastian. Real-Money vs. Play-Money Forecasting Accuracy in Online Prediction Markets. GRIN Publishing, 2013.

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23

Effect of accuracy of wind power prediction on power system operator: Final report. College of Engineering, Michigan State University, 1985.

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24

Accuracy of a treadmill scoring system for prediction of coronary artery disease in female subjects. 1991.

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25

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

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26

Langton, Calvin M. Contrasting approaches to risk assessment with adult male sexual offenders: An evaluation of recidivism prediction schemes and the utility of supplementary clinical information for enhancing predictive accuracy. 2003.

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27

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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28

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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29

Gould, JS, WL McCaw, NP Cheney, PF Ellis, and S. Matthews. Field Guide: Fire in Dry Eucalypt Forest. CSIRO Publishing, 2008. http://dx.doi.org/10.1071/9780643101289.

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An effective response to bushfires relies on accurate predictions of fire behaviour, particularly the rate of spread, intensity and ‘spotting’. This field guide has been developed to provide a systematic method for assessing fuel hazard and predicting potential fire behaviour in dry eucalypt forest. It will assist in making vital decisions that ensure the protection of fire crews and the community. This guide integrates Project Vesta research findings with the Victorian Overall Fuel Hazard Guide and is applicable to dry eucalypt forests throughout southern Australia. Fuel assessment is b

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30

Accurate prediction of nonlinear wave forces. University of Sheffield, Dept. of Automatic Control and Systems Engineering, 1996.

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31

Welsh, Sarah S., Geneviève Dupont-Thibodeau, and Matthew P. Kirschen. Neuroprognostication after severe brain injury in children: Science fiction or plausible reality? Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198786832.003.0010.

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Neuroprognostication is a complex process that spans the resuscitative, acute, and subacute phases of brain injury and recovery. Improvements over time have transitioned the task of outcome prediction after severe brain injury from estimating survival to providing a qualitative prognosis of functional neurologic recovery. This chapter follows the case of an 8-year-old boy who remained comatose following a cardiac arrest due to drowning. We describe and analyze novel applications of current technologies that could be used in the future to improve the accuracy, reliability, and confidence in the

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32

Brayne, Sarah. Predict and Surveil. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190684099.001.0001.

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The scope of criminal justice surveillance, from policing to incarceration, has expanded rapidly in recent decades. At the same time, the use of big data has spread across a range of fields, including finance, politics, health, and marketing. While law enforcement’s use of big data is hotly contested, very little is known about how the police actually use it in daily operations and with what consequences. This book offers an inside look at how police use big data and new surveillance technologies, leveraging on-the-ground fieldwork with one of the most technologically advanced law enforcement

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33

Taylor, John A. British Empiricism and Early Political Economy. Praeger, 2005. http://dx.doi.org/10.5040/9798400621611.

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Gregory King (1648-1712) was an engraver, herald, surveyor, and Secretary to the Commissioners for the Public Accounts, but he is best known for his 1696 estimates of the wealth and population of England. Writing in 1696, but calculating for the year 1688, he put the population at approximately 5.5 million. Historians have recently doubted the accuracy of these estimates. In this book, John A. Taylor argues that King was an honest compiler of statistics, and that his eccentric calculations based on the available 1696 data were motivated by the problems he faced. Because he used only empiricism

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34

(Foreword), Peter H. Raven, J. Michael Scott (Editor), Patricia Heglund (Editor), and Michael Morrison (Editor), eds. Predicting Species Occurrences: Issues Of Accuracy And Scale. Island Press, 2002.

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35

Committee on Commerce Science (senate), United States Senate, and United States United States Congress. Lifesaving Role of Accurate Hurricane Prediction and Preparation. Independently Published, 2019.

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36

Elder, John, and Giovanni Seni. Ensemble Methods in Data Mining: Improving Accuracy Through Combining Predictions. Springer International Publishing AG, 2010.

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37

LOK, Johnny Ch. Psychology or Machine Prediction Consumer Emotion Is More Accurate. Independently Published, 2020.

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38

Desai, Anjali, and Andrew S. Epstein. Doctors’ Prognostic Accuracy in Terminally Ill Patients (DRAFT). Edited by Nathan A. Gray and Thomas W. LeBlanc. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190658618.003.0031.

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“Doctors’ Prognostic Accuracy in Terminally Ill Patients” reviews one of Christakis and Lamont’s landmark articles, which investigated the factors associated with prognostic accuracy (and prognostic error) in doctors’ prognoses for terminally ill patients. The article explored the extent and determinants of optimistic errors, pessimistic errors, and correct predictions among doctors who were estimating prognoses for their terminally ill patients. This chapter offers a concise breakdown of the study’s design and salient study results while also pointing out study limitations. The chapter summar

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39

MacLeod, Andrew. Prospection, well-being, and mental health. Oxford University Press, 2017. http://dx.doi.org/10.1093/med:psych/9780198725046.001.0001.

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The ability to think about the future is essential for functioning, and is also central to individual well-being and mental health. This book reviews the growing evidence for the link between prospection and well-being. A variety of aspects of prospection are discussed, including prediction and anticipation for future events, judging how we will feel when events do happen to us, and how we feel in the here-and-now when contemplating what will happen in the future. Each of these aspects of prospection is connected to experiences of well-being and mental health in different ways. Questions of bi

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40

LOK, Johnny Ch. Artificial Analysts or Economic AnalystsMore Accurate Prediction To: Consumer Behaviors. Independently Published, 2020.

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41

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

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42

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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43

Hollins, Timothy J., and Nathan Weber. Monitoring and Regulation of Accuracy in Eyewitness Memory. Edited by John Dunlosky and Sarah (Uma) K. Tauber. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199336746.013.22.

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Eyewitness metacognition has been studied in two broad areas, event memory and identification decisions. Event memory research has focused primarily on metacognitive control over what is reported, while identification research has focused primarily on metacognitive monitoring. Event memory studies show that witnesses can control the accuracy and precision of answers that they choose to report but control is limited by social factors such as perceived informativeness or concerns with self-presentation. Contrary to prior claims, recent eyewitness identification research shows that confidence is

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44

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

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45

Watson, Diane Elizabeth. Predictive accuracy of capitation rate adjusters: Primary care and enrollment based practices. 2000.

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46

Barbaree, Howard E., and Robert A. Prentky. Risk assessment of sex offenders. Edited by Teela Sanders. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780190213633.013.21.

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This essay discusses the assessment of recidivism risk in sex offenders. It begins with definitions of critical terms and concepts. A number of approaches to risk assessment are described. Validated risk instruments are reviewed, with a focus on their reliability and accuracy in predicting recidivism. Actuarial assessment of risk is described as a two-stage process. In the first stage, offenders are assessed and assigned to a risk level or stratum. In the second stage, the probability of risk over a follow-up period is estimated based on the offender’s risk ranking. The essay discusses calibra

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47

Nuccitelli, Dana. Climatology versus Pseudoscience. ABC-CLIO, LLC, 2015. http://dx.doi.org/10.5040/9798400627545.

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Although some politicians, pundits, and members of the public do not believe it, global warming predictions by mainstream climate scientists have been remarkably accurate while those made by climate deniers have not. And if mainstream global warming predictions continue to prove correct, the window of opportunity to prevent a climate catastrophe is quickly closing. This book is the first to illustrate the accuracy—and inaccuracy—of global warming predictions made by mainstream climate scientists and by climate contrarians from the 1970s to the present day. Written in simple, non-technical lang

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48

Eckert, Evelyn. An analysis of the accuracy of predicting soft tissue changes following orthognathic surgery. 1986.

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49

Srisawat, Nattachai, and John A. Kellum. Promoting renal recovery in critical illness. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0379.

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Better understanding the process of renal recovery following acute kidney injury (AKI) is one of the key steps in improving AKI outcome. We are still lacking the standard definition of renal recovery. Recent progress on the pathophysiology of renal injury and recovery is encouraging. Repopulation of surviving renal tubular epithelial cells with the assistance of certain renal epithelial cell and specific growth factors, play a major role in the recovery process. Moreover, accurate prediction would help physicians distinguish patients with poor renal prognosis in whom further therapy is likely

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50

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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