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Books on the topic 'Multiple selections'

Author: Grafiati
Published: 4 June 2021
Last updated: 9 February 2022

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1

Deardurff, John. Selecting Data from Multiple Tables. Berkeley, CA: Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-4905-5.

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2

Blanc, Louis A. Le. "DSS software selection: A multiple criteria decision methodology". Fontainbleau: INSEAD, 1986.

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3

Balakrishnan, N., H. N. Nagaraja, and N. Kannan, eds. Advances in Ranking and Selection, Multiple Comparisons, and Reliability. Boston, MA: Birkhäuser Boston, 2005. http://dx.doi.org/10.1007/b138793.

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4

Hormann, Hans-Jurgen. TOM - Test of multiple task performance. User manual. Koln, Germany: DLR, 1989.

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5

Dual selection criteria with multiple alternatives: Migration, work status, and wages. Washington, D.C: World Bank, 1991.

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6

Richard, Artschwager. Richard Artschwager: Gemalde, skulpturen, zeichnungen, multiples = paintings, sculpture, drawings, multiples 1962-89. Frankfurt/Main: Galerie Neuendorf, 1990.

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7

San Francisco (Calif.). Dept. of Human Resources. Multiple-choice test preparation manual. San Francisco, CA: Dept. of Human Resources, City and County of San Francisco, 2013.

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8

Bechhofer, Robert E. Design and analysis of experiments for statistical selection, screening, and multiple comparisons. New York: Wiley, 1995.

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9

S, Panchapakesan, ed. Multiple decision procedures: Theory and methodology of selecting and ranking populations. Philadelphia: Society for Industrial and Applied Mathematics, 2002.

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10

United States. Congress. Senate. Committee on the Judiciary. Selection of venue for multiple appeals of agency orders: Report (to accompany S. 1134). [Washington, D.C.?: U.S. G.P.O., 1987.

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11

Richard, Hamilton. Richard Hamilton: Druckgraphik und Multiples 1939-2002. Düsseldorf: Kunstmuseum Winterthur, 2002.

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12

United States. Congress. House. Committee on the Judiciary. Selection of court of appeals in multiple appeals of agency orders: Report (to accompany H.R. 439). [Washington, D.C.?: U.S. G.P.O., 1985.

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13

United States. Congress. House. Committee on the Judiciary. Selection of court of appeals in multiple appeals of agency orders: Report (to accompany H.R. 439). [Washington, D.C.?: U.S. G.P.O., 1985.

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14

United States. Congress. House. Committee on the Judiciary. Selection of court of appeals in multiple appeals of agency orders: Report (to accompany H.R. 439). [Washington, D.C.?: U.S. G.P.O., 1985.

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15

Etienne, Lullin, Coppel Stephen, Kunstmuseum Winterthur, and Yale Center for British Art, eds. Richard Hamilton: Prints and multiples 1939-2002 : catalogue raisonné. Düsseldorf: Kunstmuseum Winterthur, 2003.

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16

Moseley, Kurtis R. A multi-criteria decisionmaking approach for management indicator species selection on the Monongahela National Forest, West Virginia. Newtown Square, PA: U.S. Dept. of Agriculture, Forest Service, Northern Research Station, 2010.

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17

Hubertus, Butin, Gronert Stefan, and Dallas Museum of Art, eds. Gerhard Richter, editions 1965-2004: Catalogue raisonné. Ostfildern-Ruit: Hatje Cantz, 2004.

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18

Gerhard, Richter. Gerhard Richter, editions 1965-2004: Catalogue raisonné. Ostfildern-Ruit: Hatje Cantz, 2004.

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19

Thomas, Kellein, ed. Dieter Roth: Books + multiples : catalogue raisonné. London: Thames & Hudson, 2004.

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20

United States. Congress. House. Committee on the Judiciary. Selection of court for multiple appeals: Report (to accompany H.R. 1162) (including cost estimate of the Congressional Budget Office). [Washington, D.C.?: U.S. G.P.O., 1987.

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21

Angotti, Franco, and Giuseppe Pelosi, eds. Il Telefono & Dintorni. Florence: Firenze University Press, 2011. http://dx.doi.org/10.36253/978-88-6655-068-6.

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Sponsored by the University of Florence, the "National Committee for the celebrations of the bicentenary of the birth of Antonio Meucci" had multiple goals. These included: fostering a knowledge of the historic period in which Antonio Meucci lived in Florence, where he was born on 13 April 1808; contributing to spread and enhance technical-scientific culture among secondary school and university students; offering an occasion for reflection on the future of telecommunications from the perspective of technological innovation and the legal, regulatory, economic and social aspects; underscoring the influence of the telephone on the evolution of language, customs and means of expression, and finally co-ordinating and enhancing other initiatives not directly sponsored by the Committee. This book "Il telefono & dintorni" brings together a selection of the events, contributions and 'images' selected from among the numerous initiatives organised by the Meucci Committee over its three years of activity.
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22

Beuys, Joseph. Joseph Beuys: Eine Werkübersicht : Zeichnungen und Aquarelle, Drucksachen und Multiples, Skulpturen und Objekte, Räume und Aktionen 1945-1985. München: Schirmer/Mosel, 1996.

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23

Babeshko, Lyudmila, and Irina Orlova. Econometrics and econometric modeling in Excel and R. ru: 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 evaluation, analysis, and practical implementation of Box — Jenkins stationary time series models, as well as multidimensional time series models: vector autoregressive models and vector error correction models. It includes basic econometric models for panel data that have been widely used in recent decades, as well as formal tests for selecting models based on their hierarchical structure. Each section provides examples of evaluating, analyzing, and testing models in the R software environment. Meets the requirements of the Federal state educational standards of higher education of the latest generation. It is addressed to master's students studying in the Field of Economics, the curriculum of which includes the disciplines Econometrics (advanced course)", "Econometric modeling", "Econometric research", and graduate students."
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24

Cao, Bing-Yuan. Optimal Models and Methods with Fuzzy Quantities. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2010.

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25

None. Multiple Language Selection Translations Grade 2 (Multiple Language Selection Translations, Grade 2). Silver Burdett Ginn, 1997.

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26

Secondary Selection Portfolio (Multiple Choice). Athey Educational, 1999.

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27

Secondary Selection Portfolio (Multiple Choice). Athey Educational, 2000.

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28

Literature Works Multiple Language Selection Translations Grade 6. Silver Burdett Ginn, 1997.

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29

Balakrishnan, N., Nandini Kannan, and H. N. Nagaraja. Advances in Ranking and Selection, Multiple Comparisons, and Reliability. Springer, 2008.

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30

Mack: Druckgraphik und Multiples. Mönchengladbach: B. Kühlen, 2000.

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31

Hakel, Milton D. Beyond Multiple Choice: Evaluating Alternatives to Traditional Testing for Selection. Taylor & Francis Group, 2014.

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32

D, Hakel Milton, ed. Beyond multiple choice: Evaluating alternatives to traditional testing for selection. Mahwah, N.J: L. Erlbaum Associates, 1998.

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33

Hakel, Milton D. Beyond Multiple Choice: Evaluating Alternatives To Traditional Testing for Selection. Lawrence Erlbaum, 1998.

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34

Walsh, Bruce, and Michael Lynch. Measuring Multivariate Selection. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198830870.003.0030.

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This chapter extends many of the results from Chapter 29 on single trait-fitness associations to the multiple trait setting. It examines the estimate of multivariate fitness surfaces, starting with quadratic surfaces and then moving to nonparametric versions (which assume no a prior functional form). It also examines path analysis, the analysis of missing data, and multilevel selection.
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35

O'Neal, David J. Effects of variable selection and weighting on the multiple correlation coefficient. 1993.

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36

Walsh, Bruce, and Michael Lynch. Using Molecular Data to Detect Selection: Signatures from Multiple Historical Events. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198830870.003.0010.

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This chapter examines the search for a pattern of repetitive adaptive substitutions over evolutionary time. In contrast with the previous chapter, only a modest number of tests toward this aim have been proposed. The HKA and McDonald-Kreitman tests contrast the polymorphism to divergence ratio between different genomic classes (such as different genes or silent versus replacement sites within the same gene). These approaches can detect an excess of substitutions, which allows one to estimate the fraction of adaptive sites. This chapter reviews the empirical data on estimates of this fraction and discusses some of the sources of bias it its estimation. Over an even longer time scale, one can contrast the rate of change of sites in a sequence over a phylogeny. These tests require a rather special type of selection, wherein the same specific site (usually a codon) experiences multiple adaptive substitutions over a phylogeny, such as might occur in arms-race genes.
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37

1956-, Balakrishnan N., Kannan N, and Nagaraja H. N. 1954-, eds. Advances in ranking and selection, multiple comparisons and reliablility: Methodology and applications. Boston: Birkhäuser, 2005.

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38

Advances in ranking and selection, multiple comparisons, and reliablility: Methodology and applications. Boston, MA: Birkhauser, 2005.

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39

Selection Models For Nonignorable Missing Data (Anwendungsorientierte Statistik, Bd. 8). Morehouse Publishing, 2005.

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40

Robb, Jessica F., and Lawrence M. Samkoff. Immunomodulatory Agents for Relapsing-Remitting Multiple Sclerosis. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199341016.003.0025.

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The treatment of multiple sclerosis has become much more complicated with the development of new oral and other disease-modifying therapies (DMT) that have been added to the formulary of older injectables and natalizumab. To date, twelve medications have been approved in the United States for use in cases of relapsing multiple sclerosis. Neurologists managing patients with multiple sclerosis must integrate numerous variables when selecting the appropriate agent for each individual. This chapter presents an overview of the DMTs currently approved by the U.S. Food and Drug Administration for multiple sclerosis and suggests a therapeutic algorithm to aid in choosing among these medications.
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41

Athey, Lionel. Non-verbal Reasoning Practice Papers Pack 4 (Multiple-choice Version) (Secondary Selection Portfolio). Athey Educational, 1999.

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42

Oregon State University. College of Forestry., ed. Forest lands of the Northwest: Selecting among alternative uses. Corvallis, Or: College of Forestry, Oregon State University, 1988.

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43

Matsui, Shigeyuki, and Hisashi Noma. Estimation and Selection in High-Dimensional Genomic Studies: Multiple Testing, Gene Ranking, and Classification. Springer, 2020.

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44

Hoppe. Multiple Comparisons, Selection and Applications in Biometry (Statistics: a Series of Textbooks and Monogrphs). CRC, 1992.

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45

Richard Hamilton: Prints and Multiples 1939-2002. Yale Center for British Art et al, 2003.

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46

W, Dunnett Charles, and Hoppe Fred M. 1949-, eds. Multiple comparisons, selection, and applications in biometry: A festschrift in honor of Charles W. Dunnett. New York: Dekker, 1993.

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47

Dawn, Ades. The Endless Enigma: Dalí and the Magicians of Multiple Meaning. Hatje Cantz Publishers, 2003.

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48

Walsh, Bruce, and Michael Lynch. Short-term Changes in the Mean: 1. The Breeder’s Equation. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198830870.003.0013.

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The expected response in the mean of a trait subjected to a single generation of selection from an unselected base population is usually well-approximated by the breeder's equation, R = h2S. This chapter shows how this basic equation generalizes to an important number of settings, such as differential selection on the two sexes, overlapping generations, and selection based on measures other than just an individual's phenotype. It also briefly examines selection response on multiple traits.
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49

Bennett, Christopher. Retributivism and Totality Can Bulk Discounts for Multiple Offending Fit the Crime? Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190607609.003.0004.

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This chapter examines how multiple offenders seem to pose a problem for broadly retributive principles of sentencing, focusing on the proper place and exercise of discretion to show why such problems are only apparent. It begins with a discussion of the issue of multiple offending and the discretion it seems to give sentencers as well as the bulk-discount principle that appears to guide decisions. It then considers two ways in which bulk discounts may appear to conflict with retributive sentencing theory, the fittingness problem and the selection problem. It also analyzes the key guiding thought within retributive approaches to criminal justice and distinguishes between two types of retributivism, moralistic and legalistic. The chapter concludes with the argument that retributivism is compatible with common approaches to multiple-offense sentencing.
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50

(Editor), N. Balakrishnan, N. Kannan (Editor), and H. N. Nagaraja (Editor), eds. Advances in Ranking and Selection, Multiple Comparisons, and Reliability: Methodology and Applications (Statistics for Industry and Technology). Birkhäuser Boston, 2004.

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