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Books on the topic 'Error variance'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Tibshirani, Robert. Bias, variance and prediction error for classification rules. University of Toronto, Dept. of Statistics, 1996.

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2

United States. National Aeronautics and Space Administration., ed. Fault and error latency under real workload: An experimental study. Coordinated Science Laboratory, College of Engineering, University of Illinois at Urbana-Champaign, 1986.

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3

P, Biemer Paul, and International Conference on Measurement Errors in Surveys (1990 : Tucson, Ariz.), eds. Measurement errors in surveys. Wiley, 1991.

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4

Buttigieg, Victor. Variable-length error-correcting codes.. University of Manchester, 1995.

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5

Knee, M. J. Designing variable-length codes with good error-recovery properties. BBC, 1987.

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6

1957-, Anderson Mark W., ed. Atlas of normal roentgen variants that may simulate disease. 9th ed. Elsevier/Saunders, 2013.

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7

Arellano, Manuel. Another look at the instrumental-variable estimation of error-components models. London School of Economics and Political Science, Centre for Economic Performance, 1990.

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8

Durlauf, Steven N. Bounds on the variances of specification errors in models with expectations. National Bureau of Economic Research, 1989.

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9

McKinney, Alexander M. Variants: Brain and spine imaging. McGraw-Hill, 2014.

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10

Joachim, Dückert, Kempcke Günter, and Adelberg Elfriede, eds. Wörterbuch der Sprachschwierigkeiten: Zweifelsfälle, Normen und Varianten im gegenwärtigen deutschen Sprachgebrauch. 2nd ed. Bibliographisches Institut, 1986.

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11

W, Bancroft Laura, and Bridges, Mellena D., M.D., eds. MRI normal variants and pitfalls. Lippincott Williams and Wilkins, 2009.

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12

Lejeune, Bernard. Error components models and variable heterogeneity: Modelisation, second order pseudo-maximum likelihood estimation and specification testing. A.N.R.T, Université Pierre Mendes France (Grenoble II), 1998.

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13

Keats, Theodore E. An atlas of normal roentgen variants that may simulate disease. 5th ed. Mosby Year Book, 1992.

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14

Keats, Theodore E. Atlas of normal roentgen variants that may simulate disease. 5th ed. Mosby Year Book, 1992.

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15

Keats, Theodore E. Atlas of normal roentgen variants that may simulate disease. 5th ed. Mosby Year Book, 1991.

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16

Pin, Mario. Le piastre da 120 grana di Ferdinando II di Borbone: Studio sulle varianti e sugli errori di punzonatura. D'Amico editore, 2017.

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17

Babeshko, Lyudmila, and Irina Orlova. Econometrics and econometric modeling in Excel and R. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1079837.

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The textbook includes topics of modern econometrics, often used in economic research. Some aspects of multiple regression models related to the problem of multicollinearity and models with a discrete dependent variable are considered, including methods for their estimation, analysis, and application. A significant place is given to the analysis of models of one-dimensional and multidimensional time series. Modern ideas about the deterministic and stochastic nature of the trend are considered. Methods of statistical identification of the trend type are studied. Attention is paid to the evaluati

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18

Gierlinski, Marek. Understanding Statistical Error: A Primer for Biologists. Wiley & Sons, Incorporated, John, 2015.

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19

Gierlinski, Marek. Understanding Statistical Error: A Primer for Biologists. Wiley & Sons, Incorporated, John, 2015.

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20

Gierlinski, Marek. Understanding Statistical Error: A Primer for Biologists. Wiley & Sons, Incorporated, John, 2015.

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21

Gierlinski, Marek. Understanding Statistical Error: A Primer for Biologists. Wiley & Sons, Incorporated, John, 2016.

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22

Error analysis for biologists: Statistics you can understand. John Wiley & Sons Inc., 2016.

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23

Segerstrom, Suzanne C., and Gregory T. Smith. Methods, Variance, and Error in Psychoneuroimmunology Research: The Good, the Bad, and the Ugly. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780195394399.013.0022.

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24

Fault and error latency under real workload: An experimental study. Coordinated Science Laboratory, College of Engineering, University of Illinois at Urbana-Champaign, 1986.

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25

Mathiowetz, Nancy A., Paul P. Biemer, Robert M. Groves, Seymour Sudman, and Lars E. Lyberg. Measurement Errors in Surveys. Wiley & Sons, Incorporated, John, 2011.

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26

Streiner, David L., Geoffrey R. Norman, and John Cairney. Reliability. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199685219.003.0008.

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This chapter reviews the basic theory of reliability, and examines the relation between reliability and measurement error. It derives the standard form of reliability, the intraclass correlation or ICC, from repeated measures ANOVA. The chapter explores issues in the application of the reliability coefficient, including absolute versus relative reliability, the reliability of multiple observations, and the standard error of measurement. It examines several other measures of reliability—Cohen’s kappa, Pearson r, and the method of Altman and Bland—and derives the relation between them and the IC

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27

Variants and Variance in Classical Textual Cultures: Errors, Innovations, Proliferation, Reception? de Gruyter GmbH, Walter, 2024.

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28

Variants and Variance in Classical Textual Cultures: Errors, Innovations, Proliferation, Reception? de Gruyter GmbH, Walter, 2024.

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29

Variants and Variance in Classical Textual Cultures: Errors, Innovations, Proliferation, Reception? de Gruyter GmbH, Walter, 2024.

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30

Measurement Errors in Surveys. Wiley & Sons, Incorporated, John, 2011.

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31

Mathiowetz, Nancy A., Paul P. Biemer, Robert M. Groves, Seymour Sudman, and Lars E. Lyberg. Measurement Errors in Surveys. Wiley & Sons, Incorporated, John, 2014.

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32

Manchester, University of, ed. Variable-length error-correcting codes. 1995.

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33

Walsh, Bruce, and Michael Lynch. Theorems of Natural Selection: Results of Price, Fisher, and Robertson. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198830870.003.0006.

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This chapter reviews a number of “theorems” of natural selection. These include exact results (true mathematical theorems): the Robertson-Price identity, Price's general expression for any form of selection response, and the Fisher-Price-Ewens version of Fisher's fundamental theorem. Their generality comes as the cost of usually being very difficult to apply. An important exception is the Robertson-Price identity, which expresses the within-generation change in the mean of a trait as its covariance with relative fitness. This chapter also examines three classic approximations: Fisher's fundame

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34

Edwards, Jonathan Charles, and Ekrem Kutluay. Patterns of Unclear Significance. Edited by Donald L. Schomer and Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0012.

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Accurate interpretation of electroencephalograms requires knowledge and experience with a wide range of findings. Misinterpretation is common and may result from insufficient inexperience, incomplete training, or simply human error. However, misinterpretation may also arise from the relative rarity of some findings, and also from the evolution and necessary change in our understanding of the significance of these findings. One of the most common sources of reader error is in dealing with patterns that have some hallmarks of abnormalities but are actually normal findings. We refer to these find

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35

Atlas of Normal Roentgen Variants That May Simulate Disease. 7th ed. Mosby, 2001.

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36

Borreggine, Domenico, and Santino Zilli. Catalogo Zilli 2021-22: Varianti, Errori e Curiosità Della Repubbllica Italiana. Independently Published, 2021.

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37

Keats, Theodore E., and Mark W. Anderson. Atlas of Normal Roentgen Variants That May Simulate Disease. 8th ed. Mosby, 2006.

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38

Keats, Theodore E. Atlas of Normal Roentgen Variants That May Simulate Disease. Mosby-Year Book, 2007.

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39

Vtorai︠a︡ mirovai︠a︡ voĭna, 1959-1964: Alʹternativnyĭ variant : v 2 tomakh. Astrelʹ, 2006.

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40

Search and Find Errors: Variable Difficulty Differences on Each Image, So the Whole Family Can Have Fun. Independently Published, 2021.

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41

Nothaft, C. Philipp E. Calendrical Astronomy in the Twelfth Century. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198799559.003.0004.

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This chapter employs a range of previously untapped sources to paint a detailed picture of how the so-called Renaissance of the Twelfth Century reshaped computistical literature and spawned the first blossoming of a calendar-reform debate in the Latin Christian world. Major points of discussion are the introduction of astronomical tables as instruments for analysing calendrical error, the discovery of the lunar calendars used by Muslims and Jews as potential alternatives to the Church’s own 19-year cycle, and the adoption of a new understanding of the nature of the solar year, in particular th

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42

Halperin, Sandra, and Oliver Heath. 15. Quantitative Analysis. Oxford University Press, 2017. http://dx.doi.org/10.1093/hepl/9780198702740.003.0015.

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This chapter deals with quantitative analysis, and especially description and inference. It introduces the reader to the principles of quantitative research and offers a step-by-step guide on how to use and interpret a range of commonly used techniques. The first part of the chapter considers the building blocks of quantitative analysis, with particular emphasis on different ways of summarizing data, both graphically and with tables, and ways of describing the distribution of one variable using univariate statistics. Two important measures are discussed: the mean and the standard deviation. Af

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43

Walsh, Bruce, and Michael Lynch. Analysis of Short-term Selection Experiments: 1. Least-squares Approaches. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198830870.003.0018.

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This chapter examines short-term (a few generations) selection response in the mean of a trait. Traditionally, such experiments are analyzed using least-squares (LS) approaches. While ordinary LS (OLS) is often used, genetic drift causes the residual to be both correlated and heteroscedastic, resulting in the sampling variances given by OLS being too small. This chapter details the appropriate general LS (GLS) approaches to properly account for this residual error structure. It also reviews some of the common features observed in short-term selection experiments and examines experimental desig

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44

Jackman, Simon. Measurement. Edited by Janet M. Box-Steffensmeier, Henry E. Brady, and David Collier. Oxford University Press, 2009. http://dx.doi.org/10.1093/oxfordhb/9780199286546.003.0006.

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This article shows that the words ‘behavioural’ and ‘behaviour’ turn out to be better measures as judged by tests of criterion and convergent validity. It specifically discusses measurement problems. Further, it pertains to statistical models that link latent variables and their observed indicators as measurement models. The success of measurement — the quality of the inferences provided by a measurement model — is usually assessed with reference to two key concepts: validity and reliability. The distinct uses of measures of latent variables are reported. The article then deals with the costs

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45

Smith, Ronnie W., and D. Richard Hipp. Spoken Natural Language Dialog Systems. Oxford University Press, 1995. http://dx.doi.org/10.1093/oso/9780195091878.001.0001.

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As spoken natural language dialog systems technology continues to make great strides, numerous issues regarding dialog processing still need to be resolved. This book presents an exciting new dialog processing architecture that allows for a number of behaviors required for effective human-machine interactions, including: problem-solving to help the user carry out a task, coherent subdialog movement during the problem-solving process, user model usage, expectation usage for contextual interpretation and error correction, and variable initiative behavior for interacting with users of differing e

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46

Milliken, Christopher, Ehsan Nikbakht, and Andrew Spieler. Traditional Asset Allocation Securities. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190269999.003.0020.

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Asset allocation models have evolved in complexity with the development of modern portfolio theory, but they continue to operate under the assumption of investor rationality and other assumptions that do not hold in the real world. For this reason, academics and industry professionals make efforts to understand the behavioral biases of decision makers and the implications these biases have on asset allocation strategies. This chapter reviews the building blocks of asset allocation, involving stocks, bonds, real estate, and cash. It also examines the history and theory behind two of the most po

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47

Huffaker, Ray, Marco Bittelli, and Rodolfo Rosa. Empirically Detecting Causality. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198782933.003.0008.

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Phenomenological models mathematically describe relationships among empirically observed phenomena without attempting to explain underlying mechanisms. Within the context of NLTS, phenomenological modeling goes beyond phase space reconstruction to extract equations governing real-world system dynamics from a single or multiple observed time series. Phenomenological models provide several benefits. They can be used to characterize the dynamics of variable interactions; for example, whether an incremental increase in one variable drives a marginal increase/decrease in the growth rate of another,

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48

Schiff, Brian. Out of the Head. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199332182.003.0003.

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Chapter 2, “Out of the Head,” in A New Narrative for Psychology argues that psychology’s conceptual problem becomes even more acute when one considers conclusions drawn about the relationship between variables. Interpreting the statistical relationship between two or more variables, researchers commit a serious error; they misinterpret correlations derived from group data as an indication of what must be happening inside persons. Only an approach that allows one to get close enough to persons, to observe how they tell and interpret their experience, can allow one to understand how subjectivity

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49

Lagiou, Pagona, Dimitrios Trichopoulos, and Hans-Olov Adami. Concepts in Cancer Epidemiology and Etiology. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190676827.003.0006.

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This chapter reviews central concepts in epidemiology, which apply also to cancer epidemiology. It examines cohort and case-control studies, with reference also to studies of genetic epidemiology, it considers the impact of chance and systematic errors, and it traces the process of causal reasoning. It attempts to convey that the sometimes esoteric theory of modern epidemiology can be condensed to a few central issues, namely (1) how to quantify and understand the impact of chance; (2) how to best harvest information on exposures and outcomes from a source population by using a cohort design,

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50

Allen, Richard D. M., and Henry C. C. Pleass. Donor and recipient kidney transplantation surgery. Edited by Jeremy R. Chapman. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199592548.003.0278_update_001.

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Kidney transplant surgery is for thinking surgeons who enjoy being part of a multidisciplinary transplant team. Good ones recognize the small margin for error and avoid difficulties by careful preparation and anticipation of potential pitfalls. Progressively, their role has gained in significance and is now the most important variable in kidney graft loss in the first 6 months after transplantation. Deceased organ donation is complex, expensive, and insufficient in numbers to meet the demand for kidney transplantation. Living donor surgery is therefore a procedure of necessity. Laparoscopic ap

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