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Books on the topic 'Web metrics'

Author: Grafiati

Published: 4 June 2021

Last updated: 11 September 2023

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1

Sterne, Jim. Web Metrics. John Wiley & Sons, Ltd., 2002.

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2

Advanced Web metrics with Google Analytics. Wiley Technology Pub., 2008.

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3

Advanced Web metrics with Google Analytics. 2nd ed. Wiley, 2010.

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4

Clifton, Brian. Advanced Web metrics with Google Analytics. 2nd ed. Wiley Pub., 2010.

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5

Clifton, Brian. Advanced Web Metrics with Google Analytics. John Wiley & Sons, Ltd., 2008.

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6

F, Almeida Virgilio A., ed. Capacity planning for Web performance: Metrics, models, and methods. Prentice Hall, 1998.

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7

F, Almeida Virgilio A., and Menascé Daniel A, eds. Capacity planning for Web services: Metrics, models, and methods. Prentice Hall PTR, 2002.

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8

Taylor, Z. W., and Joshua Childs. Measuring the Metaphysical School: Using Web Crawlers and Search Engine Optimization to Evaluate School Web Metrics. SAGE Publications, Ltd., 2022. http://dx.doi.org/10.4135/9781529603170.

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9

(Firm), ASHRAE. Server efficiency: Metrics for computer servers and storage. ASHRAE, 2015.

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10

Eisenberg, Bryan, and Jim Novo. The marketer's common sense guide to e-metrics: 22 benchmarks to understand the major trends, key opportunities, and hidden hazards your web logs uncover. Future Now, Inc., 2002.

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11

1968-, Kamal Eric Djira, ed. E-metrics for library and information professionals: How to use data for managing and evaluating electronic resource collections. Neal-Schuman Publishers, 2006.

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12

Vasta, Davide. Web analytics: Le metriche, gli strumenti, le analisi. Apogeo, 2009.

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13

Sterne, Jim. Web Metrics. Wiley & Sons, Incorporated, John, 2003.

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14

Clifton, Brian. Advanced Web Metrics with Google Analytics. Wiley & Sons, Incorporated, John, 2010.

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15

Clifton, Brian. Advanced Web Metrics with Google Analytics. Wiley & Sons, Incorporated, John, 2012.

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16

Clifton, Brian. Advanced Web Metrics with Google Analytics. Wiley & Sons, Incorporated, John, 2010.

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17

Clifton, Brian. Advanced Web Metrics with Google Analytics. Wiley & Sons, Limited, John, 2012.

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18

Clifton, Brian. Advanced Web Metrics with Google Analytics. Wiley & Sons, Incorporated, John, 2011.

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19

Clifton, Brian. Advanced Web Metrics with Google Analytics. Wiley & Sons, Incorporated, John, 2010.

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20

Clifton, Brian. Advanced Web Metrics with Google Analytics. Wiley & Sons, Incorporated, John, 2012.

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21

Clifton, Brian. Advanced Web Metrics with Google Analytics. Wiley & Sons, Incorporated, John, 2010.

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22

Clifton, Brian. Advanced Web Metrics with Google Analytics. Wiley & Sons, Incorporated, John, 2012.

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23

Clifton, Brian. Advanced Web Metrics with Google Analytics. Wiley & Sons, Incorporated, John, 2012.

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24

Clifton, Brian. Advanced Web Metrics with Google Analytics. Wiley & Sons, Incorporated, John, 2008.

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25

Clifton, Brian. Advanced Web Metrics with Google Analytics. Wiley & Sons, Incorporated, John, 2008.

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26

Advanced Web Metrics with Google Analytics. John Wiley & Sons, 2012.

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27

Sterne, Jim. Web Metrics: Proven Methods for Measuring Web Site Success. Tandem Library, 2002.

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28

Sterne, Jim. Web Metrics: Proven Methods for Measuring Web Site Success. Wiley, 2002.

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29

Sterne, Jim. Web Metrics: Proven Methods for Measuring Web Site Success. Wiley & Sons, Incorporated, John, 2008.

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30

Stuart, David. Web Metrics for Library and Information Professionals. Facet Publishing, 2015.

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31

Web metrics for library and information professionals. Facet Publishing, 2013.

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32

Stuart, David. Web Metrics for Library and Information Professionals. Facet Publishing, 2017.

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33

Menasce, Daniel, and Virgilio A. F. Almeida. Capacity Planning for Web Performance: Metrics, Models, and Methods. Prentice Hall PTR, 1998.

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34

Menasce, Daniel, and Virgilio A. F. Almeida. Capacity Planning for Web Performance: Metrics, Models, and Methods. Prentice Hall PTR, 1998.

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35

Menasce, Daniel A., and Virgilio A. F. Almeida. Capacity Planning for Web Services: Metrics, Models, and Methods. Prentice Hall PTR, 2001.

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36

Menasce, Daniel A., and Virgilio A. F. Almeida. Capacity Planning for Web Services: Metrics, Models, and Methods. Prentice Hall PTR, 2001.

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37

Web metrics for library and information professionals - 1. edición. Facet publishing, 2014.

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38

Social Media Metrics Secrets Secrets. John Wiley & Sons, 2011.

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39

Christin, Angele. Metrics at Work. Princeton University Press, 2020. http://dx.doi.org/10.23943/princeton/9780691175232.001.0001.

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When the news moved online, journalists suddenly learned what their audiences actually liked, through algorithmic technologies that scrutinize web traffic and activity. Has this advent of audience metrics changed journalists' work practices and professional identities? This book documents the ways that journalists grapple with audience data in the form of clicks, and analyzes how new forms of clickbait journalism travel across national borders. Drawing on four years of fieldwork in web newsrooms in the United States and France, including more than one hundred interviews with journalists, the b

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40

Social Media Metrics For Dummies. For Dummies, 2012.

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41

Poston, Leslie. Social Media Metrics for Dummies. Wiley & Sons, Incorporated, John, 2012.

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42

Poston, Leslie. Social Media Metrics for Dummies. Wiley & Sons, Incorporated, John, 2012.

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43

Digital Metrics Field Guide: The Definitive Reference for Brands Using the Web, Social Media, Mobile Media, or Email. Bis B.V., Uitgeverij (BIS Publishers), 2015.

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44

Decision Making Handbook: Entrepreneurship, Freelancing, Music Business, Photo Business, Finance, Marketing, TR5, Web Design, CRM Software, Sales Metrics, Skills, Social Selling and Management. Independently Published, 2022.

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45

Leadership, Management and Data Science: Business Technology, Music Business, Photo Business, Finance, Marketing, Web Design,TR5 CRM Software, Sales Metrics, Skills, Social Selling and Management. Independently Published, 2022.

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46

Robeyns, Ingrid. The Capability Approach. Edited by Serena Olsaretti. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199645121.013.5.

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This chapter analyzes the contribution of the capability approach to the literature on distributive justice. The capability approach in itself does not provide a full theory of distributive justice, but rather argues that the metric of distributive justice should be functionings and/or capabilities. The chapter critically analyzes various issues that need addressing when we adopt this metric, such as the questions of which capabilities should be selected, and how they should be aggregated in order to make interpersonal comparisons of advantage. Comparisons with other metrics of justice are als

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47

White, Andrew C., and Eric Djiva Kamal. E-metrics for Library and Information Professionals: How to Use Data for Managing and Evaluating Electronic Resource Collections. Neal-Schuman Publishers, 2005.

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48

Fink, Alexis A., and Michael C. Sturman. HR Metrics and Talent Analytics. Edited by David G. Collings, Kamel Mellahi, and Wayne F. Cascio. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780198758273.013.25.

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Taking advantage of the history of research quantifying the effects of human resource (HR) practices, leveraging current advances in information systems and opportunities presented by big data, HR metrics and talent analytics present a renewed opportunity to help drive effective HR practices. HR metrics are operational measures, addressing how efficient, effective, and impactful an organization’s HR practices are. In contrast, talent analytics focus on decision points, guiding investment decisions. The chapter provides an overview of the historic roots and current practices around HR metrics a

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49

Golan, Amos. Foundations of Info-Metrics. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199349524.001.0001.

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This book provides a framework for info-metrics—the science of modeling, inference, and reasoning under conditions of noisy and insufficient information. Info-metrics is an inherently interdisciplinary framework that emerged from the intersection of information theory, statistical inference, and decision-making under uncertainty. It allows us to process the available information with minimal reliance on assumptions that cannot be validated. This book focuses on unifying all information processing and model building within a single constrained optimization framework. It provides a complete fram

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50

Chen, Min, J. Michael Dunn, Amos Golan, and Aman Ullah, eds. Advances in Info-Metrics. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190636685.001.0001.

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Info-metrics is a framework for modeling, reasoning, and drawing inferences under conditions of noisy and insufficient information. It is an interdisciplinary framework situated at the intersection of information theory, statistical inference, and decision-making under uncertainty. In a recent book on the Foundations of Info-Metrics, Golan (OUP, 2018) provides the theoretical underpinning of info-metrics and the necessary tools and building blocks for using that framework. This volume complements Golan’s book and expands on the series of studies on the classical maximum entropy and Bayesian me

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