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Books on the topic 'Histogram'

To see the other types of publications on this topic, follow the link: Histogram.

Author: Grafiati

Published: 4 June 2021

Last updated: 16 September 2023

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1

Kirk, Andy. Histogram. 1 Oliver’s Yard, 55 City Road, London EC1Y 1SP United Kingdom: SAGE Publications, Ltd., 2016. http://dx.doi.org/10.4135/9781529775877.

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2

Hildén, Jonatan. Learn to Create a Histogram in Python With Data From Eurostat (2019). 1 Oliver’s Yard, 55 City Road, London EC1Y 1SP United Kingdom: SAGE Publications, Ltd., 2021. http://dx.doi.org/10.4135/9781529774153.

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3

Elmabrouk, Ahmed M. Edge extraction using local histogram analysis and its application to image compression. Leicester: De Montfort University, 1999.

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4

Paint Shop Pro 9 and Studio in Easy Steps: Edit Photos like a Pro! Southam: Computer Step, 2005.

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5

DeLombard, Richard. Comparison tools for assessing the microgravity environment of orbital missions, carriers and conditions. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 1999.

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6

The ABC of CBC: Interpretation of complete blood count and histograms. New Delhi: Jaypee Brothers Medical Publishers (P) Ltd, 2013.

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7

Boscán, Guillermo, and Nerea González-García. Learn to Create Histograms in RStudio With COVID-19 Data (2020). 1 Oliver’s Yard, 55 City Road, London EC1Y 1SP United Kingdom: SAGE Publications, Ltd., 2021. http://dx.doi.org/10.4135/9781529780550.

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8

Wiesen, Christopher. Learn About Histograms in Stata With the Cardiac Catheterization Diagnostic Dataset (2018). 1 Oliver's Yard, 55 City Road, London EC1Y 1SP United Kingdom: SAGE Publications, Ltd., 2019. http://dx.doi.org/10.4135/9781526498731.

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9

United States. National Aeronautics and Space Administration., ed. The Effects of cloud inhomogeneities upon radiative fluxes, and the supply of a cloud truth validation dataset. [Washington, DC: National Aeronautics and Space Administration, 1992.

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10

United States. National Aeronautics and Space Administration., ed. The effects of cloud inhomogeneities upon radiative fluxes, and the supply of a cloud truth validation dataset. [Washington, DC: National Aeronautics and Space Administration, 1994.

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11

Welch, Ronald M. The effects of cloud inhomogeneities upon radiative fluxes, and the supply of a cloud truth validation dataset: Semi-annual progress report, period: January-June 1996. [Washington, DC: National Aeronautics and Space Administration, 1996.

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12

King, Harley D. Analytical results, sample locality map, geochemical maps, and histograms for samples from the Stibnite mill tailings pond, Stibnite, Valley County, Idaho. [Reston, Va.]: U.S. Dept. of the Interior, U.S. Geological Survey, 1994.

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13

T, Hopkins R., Curtin Gary C. 1935-, and Geological Survey (U.S.), eds. Analytical results, sample locality map, geochemical maps, and histograms for samples from the Stibnite mill tailings pond, Stibnite, Valley County, Idaho. [Reston, Va.]: U.S. Dept. of the Interior, U.S. Geological Survey, 1994.

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14

Enna. Vsm : Histogram Analysis Sheet: Histogram Analysis Sheet. Taylor & Francis Group, 2017.

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15

Gibson, Andrew. Exposure and Understanding the Histogram. Pearson Education, Limited, 2011.

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16

Enna. Vsm Office Histogram Analysis Sheet. Taylor & Francis Group, 2017.

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17

Gibson, Andrew. Exposure and Understanding the Histogram. Pearson Education, Limited, 2014.

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18

Verde, Rosanna, Javier Arroyo, and Antonio Irpino. Applied Histogram Data Analysis in R. Wiley & Sons, Incorporated, John, 2025.

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19

Verde, Rosanna, Javier Arroyo, and Antonio Irpino. Applied Histogram Data Analysis in R. Wiley & Sons, Limited, John, 2016.

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20

Verde, Rosanna, Javier Arroyo, and Antonio Irpino. Applied Histogram Data Analysis in R. Wiley & Sons, Incorporated, John, 2025.

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21

Verde, Rosanna, Javier Arroyo, and Antonio Irpino. Applied Histogram Data Analysis in R. Wiley & Sons, Incorporated, John, 2025.

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22

AKWARA, UCHENNA. HYBRID HISTOGRAM IN-MOTION MODEL FOR AUTONOMOUS MOBILE ROBOT NAVIGATION. lulu.com, 2016.

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23

Face Recognition Techniques And Analysis Classificaiton In Principal And Histogram Spaces. VDM Verlag, 2009.

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24

Institute Of Electrical and Electronics Engineers. IEEE Standard Multichannel Analyzer (Mca) Histogram Data Interchange Format for Nuclear......... Institute of Electrical & Electronics Enginee, 1997.

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25

Davey, Samuel J., and Han X. Gaetjens. Track-Before-Detect Using Expectation Maximisation : The Histogram Probabilistic Multi-hypothesis Tracker: Theory and Applications. Springer, 2018.

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26

Davey, Samuel J., and Han X. Gaetjens. Track-Before-Detect Using Expectation Maximisation : The Histogram Probabilistic Multi-hypothesis Tracker: Theory and Applications. Springer, 2018.

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27

A Performance Analysis of the Faugeras Color Space as a Component of Color Histogram-Based Image Retrieval. Storming Media, 1997.

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28

Histograms. Ireland: Gary White, 2020. http://dx.doi.org/10.4135/9781529772395.

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29

2D Histograms. Ireland: Gary White, 2020. http://dx.doi.org/10.4135/9781529772401.

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30

Enna. Analysis de Histograma. Taylor & Francis Group, 2017.

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31

Dewar, Donald L. Histograms: Member manual. Quality Circle Institute, 1985.

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32

Histograph. 1 Oliver’s Yard, 55 City Road, London EC1Y 1SP United Kingdom: SAGE Publications, Ltd., 2021. http://dx.doi.org/10.4135/9781529775174.

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33

Dots, Plots, and Histograms. Rourke Educational Media, 2016.

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34

Piddock, Claire. Dots, Plots, and Histograms. Rourke Educational Media, 2019.

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35

Dots, Plots, and Histograms. Rourke Educational Media, 2016.

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36

Piddock, Claire. Dots, Plots, and Histograms. Rourke Educational Media, 2016.

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37

Using Dynamic Trader Time Projection Reports and Histograms. New York: McGraw-Hill, 2010.

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38

Lokwani, Sunit, and D. P. Lokwani. ABC of CBC: Interpretation of Complete Blood Count and Histograms. Jaypee Brothers Medical Publishers, 2021.

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39

Lokwani, DP. The ABC of CBC: Interpretation of Complete Blood Count and Histograms. Jaypee Brothers Medical Publishers (P) Ltd., 2013. http://dx.doi.org/10.5005/jp/books/11929.

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40

Pham, Hang T. A. Accurate two-dimensional histograms for fast approximate answers to queries on real data. 2004.

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41

Judge, Al. Mastering Photographic Histograms: The key to fine-tuning exposure and better photo editing. CreateSpace Independent Publishing Platform, 2016.

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42

Srivastava, Anurag. Mastering Kibana 6.x: Visualize your Elastic Stack data with histograms, maps, charts, and graphs. Packt Publishing - ebooks Account, 2018.

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43

Chubb, Charles, Joseph Darcy, Michael S. Landy, John Econopouly, Dan Bindman Jong-Ho Nam, and George Sperling. The Scramble Illusion. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780199794607.003.0096.

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A “scramble” is a visual texture in which different gray levels are randomly mixed together. Past research has demonstrated that human vision has three dimensions of sensitivity to the different sorts of scrambles that can be created by varying the proportions of different gray levels included in the scramble. This chapter demonstrates two scrambles with dramatically different gray level histograms that appear identical unless the observer is specifically instructed to scrutinize each of them individually. It is argued that people fail to notice any difference between these two scrambles because there exist only three distinct classes of texture-sensitive neurons in the human brain that are differentially sensitive to scrambles, and in each of them these two scrambles produce identical levels of activation.

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44

Allen, Michael P., and Dominic J. Tildesley. Advanced Monte Carlo methods. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198803195.003.0009.

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This chapter describes the ways in which the Monte Carlo importance sampling method may be adapted to improve the calculation of ensemble averages, particularly those associated with free energy differences. These approaches include umbrella sampling, non-Boltzmann sampling, the Wang–Landau method, and nested sampling. In addition, a range of special techniques have been developed to accelerate the simulation of flexible molecules, such as polymers. These approaches are illustrated with scientific examples and program code. The chapter also explains the analysis of such simulations using techniques such as weighted histograms, and acceptance ratio calculations. Practical advice on selection of methods, parameters, and the direction in which to make comparisons, are given. Monte Carlo methods for modelling phase equilibria and chemical reactions at equilibrium are described.

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45

Davis, Steve. Understanding Graphs & Charts: Computer Applications, Line Plot or Dot Plot, Bar Graphs, Line Graphs, Histograms, Pie Charts, Venn Diagrams (Math Activity Book, Grades 5-8+) (Reproducible Blackline Masters). Mark Twain Media, 1998.

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46

Li, Quan. Using R for Data Analysis in Social Sciences. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190656218.001.0001.

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This book seeks to teach undergraduate and graduate students in social sciences how to use R to manage, visualize, and analyze data in order to answer substantive questions and replicate published findings. This book distinguishes itself from other introductory R or statistics books in three ways. First, targeting an audience rarely exposed to statistical programming, it adopts a minimalist approach and covers only the most important functions and skills in R that one will need for conducting reproducible research projects. Second, it emphasizes meeting the practical needs of students using R in research projects. Specifically, it teaches students how to import, inspect, and manage data; understand the logic of statistical inference; visualize data and findings via histograms, boxplots, scatterplots, and diagnostic plots; and analyze data using one-sample t-test, difference-of-means test, covariance, correlation, ordinary least squares (OLS) regression, and model assumption diagnostics. Third, it teaches students how to replicate the findings in published journal articles and diagnose model assumption violations. The principle behind this book is to teach students to learn as little R as possible but to do as much reproducible, substance-driven data analysis at the beginner or intermediate level as possible. The minimalist approach dramatically reduces the learning cost but still proves adequate information for meeting the practical research needs of senior undergraduate and beginning graduate students. Having completed this book, students can use R and statistical analysis to answer questions regarding some substantively interesting continuous outcome variable in a cross-sectional design.

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47

Catapan, Dariane Cristina, ed. Conceitos aplicados nas ciências da saúde. Latin American Publicações, 2021. http://dx.doi.org/10.47174/lap2020.ed.0000084.

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O livro “Conceitos aplicados nas ciências da saúde vol. 1”, editado e publicado pela Latin American Publicações Ltda., reúne oito capítulos que tratam sobre temas de relevância no contexto das ciências da saúde. Assim, os trabalhos deste livro abordam escuta psicológica e psicanalítica no contexto hospitalar frente à angústia da equipe de saúde. O próximo trabalho analisa por meio da Logoterapia as relações de influência entre o sentido atribuído à vida, o suporte social e o bem estar, bem como verificar a influência da idade sobre essas fatores. O próximo trabalho apresenta os elementos teóricos que sustentam a aprendizagem experiencial e sua utilização no desenvolvimento de competências genéricas com alunos de graduação de uma Universidade, com base nos quatro elementos básicos da aprendizagem: pensar, observar, fazer e sentir; formação de sensibilização e avaliação por competências. Apoia-se no papel do professorpsicólogo na sua função de facilitador do processo formativo. Em seguida, o próximo trabalho tem como objetivo descrever a produção de macro modelos de baixo custo que facilitassema aprendizagem quanto à anatomia do pulmão e anatomopatologia da COVID-19. Depois, o próximo trabalho trata de como está sendo o cuidado coletivo, dos trabalhadores de saúde que estão prestando à assistência direta e indireta a população. Assim este trabalho tem o objetivo verificar as repercussões da pandemia da COVID-19 na saúde mental, do trabalho e na física,dos profissionais de saúde. O próximo trabalho apresenta alguns gráficos estatísticos, como histogramas, gráficos de barras e boxplots, da amostra total e suas respectivas subamostras quando divididos por óbitos e casos recuperados de COVID-19 em pacientes indígenas no Estado do Acre. O penúltimo capítulo aborda as estratégias de cuidado em saúde realizadas pelas equipes de consultório de um centro social em parceria com a secretaria municipal de saúde durante a pandemia junto à população em situação de rua no Município de São Paulo na perspectiva da prevenção bem como do acompanhamento da saúde das pessoas em situação de rua com suspeita e confirmação de COVID-19. E, por fim, o último trabalho teve como objetivo verificar por meio de uma revisão bibliográfica de que forma a obesidade pode ser um fator de risco para um mau prognóstico diante de pacientes acometidos pelo novo coronavírus. Desta forma agradecemos todos os autores e autoras pelo esforço colocados em seus trabalhos e esperamos contribuir com a comunidade científica, no avanço do conhecimento científico.

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48

System 8: Programs to assist workers in the earth sciences in using geodetic or Cartesian XYZ data from row column (GSPV85) files; GSPDC, contours, and grids interpolated from triangulated network; GSPCS, graphic sections; GSPUV, univariant statistics and histograms; GSPROB, probability diagrams; GSPXY, regression statistics and XY plots; GSPTD, ternary diagrams; and GSPV85 post-plots, for IBM PC compatible computers. Denver, Colo: Dept. of the Interior, U.S. Geological Survey, 1992.

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