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Books on the topic 'Tabular data'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 January 2025

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1

Ye, Andre, and Zian Wang. Modern Deep Learning for Tabular Data. Berkeley, CA: Apress, 2023. http://dx.doi.org/10.1007/978-1-4842-8692-0.

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2

Gilbert, G. Nigel. Analyzing tabular data: Loglinear and logistic models for social researchers. London: UCL Press, 1993.

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3

United States. Bureau of Mines., ed. MULSIM/PC: A personal-computer-based structural analysis program for mine design in deep tabular deposits. Washington, D.C. (810 7th St., N.W., Washington 20241-0001): U.S. Dept. of the Interior, Bureau of Mines, 1992.

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4

United States. Bureau of Mines., ed. MULSIM/PC: A personal-computer-based structural analysis program for mine design in deep tabular deposits. Washington, D.C. (810 7th St., N.W., Washington 20241-0001): U.S. Dept. of the Interior, Bureau of Mines, 1992.

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5

Donato, D. A. MULSIM/PC: A personal computer-based structural analysis program for mine design in deep tabular deposits. Washington, D.C: U.S. Dept. of the Interior, Bureau of Mines, 1992.

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6

Spamer, Earle E. Geology of the Grand Canyon: A guide and index to published graphic and tabular data (excluding paleontology). Boulder, Colo: Geological Society of America, 1990.

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7

B, Taylor Richard. GS MRDS: A system based on the data fields used in the national MRDS system but using dBASE III and a microcomputer (IBM PC) or compatible) for organizing data on mineral resource occurrences and providing tabular and graphic output. Denver, Colo: U.S. Dept. of the Interior, Geological Survey, 1986.

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8

B, Taylor Richard. GS MRDS: A system based on the data fields used in the national MRDS system but using dBASE III and a microcomputer (IBM PC) or compatible) for organizing data on mineral resource occurrences and providing tabular and graphic output. Denver, Colo: U.S. Dept. of the Interior, Geological Survey, 1986.

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9

I, Selner G., Johnson Bruce R, and Geological Survey (U.S.), eds. GS MRDS: A system based on the data fields used in the national MRDS system but using dBASE III and a microcomputer (IBM PC) or compatible) for organizing data on mineral resource occurrences and providing tabular and graphic output. Denver, Colo: U.S. Dept. of the Interior, Geological Survey, 1986.

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10

Haworth, Lauren E. PROC TABULATE by example. Cary, NC: SAS Institute, 1999.

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11

Whittle, Holly S. SAS guide to TABULATE processing. 2nd ed. Cary, N.C: SAS Institute, 1990.

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12

Institute, SAS, ed. SAS guide to TABULATE processing. 2nd ed. Cary, NC: SAS Institute, 1990.

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13

Whittle, Holly S. SAS guide to TABULATE processing. Cary, N.C: SAS Institute, 1987.

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14

Fink, Siegfried. Tabulatur 2000: Das aktuelle Lexikon der Schlagzeugnotation = the up-to-date dictionary of percussion-notation. Hamburg: N. Simrock, 2000.

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15

Great Britain. Colonial Office. Governors of colonies: Return to an address of the Honourable the House of Commons dated 22 June 1854 for, "Return, in a tabular form, of the names of all governors and lieutenant-governors, and parties acting in such capacities, of the different colonies, stating, in British money, their salaries and the date of their appointments, the places of their residence, and the countries or districts over which they preside : distinguishing those who have served in the army and navy". [London: HMSO, 2002.

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16

Tabular Data. Macmillan Library Reference, 1997.

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17

Tabular Data. 2nd ed. Macmillan Library Reference, 1997.

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18

Tabular Data. 2nd ed. Macmillan Pub Co, 1993.

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19

Macmillan. Tabular Data. 2nd ed. Prentice Hall College Div, 1991.

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20

Tabular Data. Macmillan Publishing Company, 1985.

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21

Gilbert, G. Nigel. Analyzing Tabular Data. Taylor & Francis Group, 2022.

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22

MACMILLAN. Tabular Data (College Blue Book). 2nd ed. Prentice Hall College Div, 1985.

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23

The College Blue Book : Tabular Data. 3rd ed. Thomson Gale, 2005.

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24

The College Blue Book: Tabular Data. Macmillan Reference, 2003.

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25

Reference, MacMillian. The College Blue Book TABULAR DATA. Thompson Gale, 2007.

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26

ANALYZING TABULAR DATA CL (Social Research Today). Routledge, 1993.

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27

The College Blue Book Tabular Data (Volume 2). Thomson Gale, 2004.

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28

ANALYZING TABULAR DATA SEE NOTES (Social Research Today 1). Routledge, 1993.

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29

Publishing, Macmillan. The College Blue Book: Tabular Data (College Blue Book). 2nd ed. MacMillan Publishing Company, 1995.

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30

USA, McMillan Reference. The College Blue Book - 44th Edition - Volume 2 - Tabular Data. Gale - Cengage Learning, 2017.

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31

GILBERT, Nigel. Analyzing Tabular Data: Loglinear and Logistic Models for Social Researchers. Taylor & Francis Group, 2022.

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32

GILBERT, Nigel. Analyzing Tabular Data: Loglinear and Logistic Models for Social Researchers. Taylor & Francis Group, 2022.

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33

Analyzing Tabular Data: Loglinear and Logistic Models for Social Researchers. Taylor & Francis Group, 2024.

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34

Analyzing Tabular Data: Loglinear and Logistic Models for Social Researchers. Taylor & Francis Group, 2022.

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35

Data Visualization for Biomedical Scientists: Creating Tables and Graphs That Work. VU University Press, Amsterdam, 2022.

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36

Haba, Duc. Data Augmentation with Python: Enhance Accuracy in Deep Learning with Practical Data Augmentation for Image, Text, Audio and Tabular Data. Packt Publishing, Limited, 2023.

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37

Wang, Andy, and Andre Ye. Modern Deep Learning for Tabular Data: Novel Approaches to Common Modeling Problems. Apress L. P., 2023.

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38

Ryan, Mark. Advanced Analytics for Business: Generative AI and Machine Learning for Tabular Data. Manning Publications Co. LLC, 2024.

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39

Press, Sara M. Mortensen. Temperature Log Book: Temperature Tracker with Tabular Charts Medical Log Book, Refrigerator Safety Data Sheet Food Temperature Log and Temperature Log Book and Medical Tracker. Independently Published, 2022.

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40

Publishers, Praeger. American Universities and Colleges. 19th ed. Praeger, 2010. http://dx.doi.org/10.5040/9798400612398.

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For well over a half century,American Universities and Collegeshas been the most comprehensive and highly respected directory of four-year institutions of higher education in the United States. A two-volume set thatChoicemagazine hailed as a most important resource in its November 2006 issue, this revised edition features the most up-to-date statistical data available to guide students in making a smart yet practical decision in choosing the university or college of their dreams. In addition, the set serves as an indispensable reference source for parents, college advisors, educators, and public, academic, and high school librarians. These two volumes provide extensive information on 1,900 institutions of higher education, including all accredited colleges and universities that offer at least the baccalaureate degree. This essential resource offers pertinent, statistical data on such topics as tuition, room and board; admission requirements; financial aid; enrollments; student life; library holdings; accelerated and study abroad programs; departments and teaching staff; buildings and grounds; and degrees conferred. Volume two of the set provides four indexes, including an institutional Index, a subject accreditation index, a levels of degrees offered index, and a tabular index of summary data by state. These helpful indexes allow readers to find information easily and to make comparisons among institutions effectively. Also contained within the text are charts and tables that provide easy access to comparative data on relevant topics.
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41

SAS Institute. Sas Guide to Tabulate Processing 1987. SAS Institute, Incorporated, 1987.

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42

Lake, Lauren Haworth, McKnight, Julie. PROC TABULATE by Example, Second Edition. SAS Institute, 2015.

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43

Shafie, Izham. Pengantar statistik. UUM Press, 2000. http://dx.doi.org/10.32890/9839559699.

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Ilmu statistik adalah satu bidang yang sangat luas dari segi kandungannya mahupun penggunaannya. Penggunaanya ketika ini adalah sejajar dengan kepesatan perkembangan teknologi maklumat dan penyelidikan gunaan. Buku iniditulis untuk membincangkan beberapa aspek berkaitan dengan konsep-konsep asas dalam statistik seperti teknik pengumpulan data, kaedah persampelan dan teknik penyajian data. Selain daripada itu, perbincangan juga ditumpukan kepada beberapa ukuran kecenderungan memusat dan serakan bagi sesuatu set data.Pendedahan juga diberikan dalan tajuk-tajuk berkaitan teori kebarangkalian, teori persampelan, taburan kebarangkalian dalam tumpuan kepada beberapa taburankebarangkalian khas seperti taburan binomial, poisson dan normal. Buku ini amat sesuai menjadi panduan terutamanya bagai pelajar-palajar kursus diploma dan ijazah.
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44

Green, Steven J., ed. Introduction. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198789017.003.0001.

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The Introduction sets out the state of scholarship on Grattius’ poem to date and the central aim of the volume to bring the poem to the attention of a range of new audiences. It offers short introductory sections on the name and reputation of the poet; the scope of the poem beyond its current extant form; the date parameters for the poem; and its subject matter and generic affiliation with both didactic poetry and hunting literature. For the benefit of reader orientation, it also provides a summary of the papers in the volume, and sets out in tabular form the structure of the extant poem.
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45

SAS Institute. SAS (R) Guide to TABULATE Processing. 2nd ed. SAS Institute, Incorporated, 1990.

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46

Hugh, Beale, Bridge Michael, Gullifer Louise, and Lomnicka Eva. Part IV Priorities, 14 Exceptions to the Nemo Dat Rule. Oxford University Press, 2018. http://dx.doi.org/10.1093/law/9780198795568.003.0014.

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This chapter illustrates how a person who acquires a legal interest in good faith and without notice takes priority over the holder of an equitable interest. The person acquiring the legal interest must provide value and not have actual or constructive notice at the time that the interest was acquired. If, however, the interest, when acquired, was initially equitable, the holder of the interest can at a later date acquire the legal interest and gain priority over the holder of a prior equitable interest, despite the fact that at the time the legal interest was acquired, the holder knew of the prior equitable interest. This is the doctrine of tabula in naufragio.
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47

Kalinichenko, Evgeny. Theory and methods for calculating the inertial-braking characteristics of a ship. «Scientific Route» OÜ, 2020. http://dx.doi.org/10.21303/978-617-7319-30-5.

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One of the most serious problems of modern navigation is the accident rate that occurs due to inept or belated maneuvering of ships. As a result of accidents in the world, more than 200 ships die every year and every fourth receives significant damage. Full-scale tests show that the stopping distance of large-tonnage ships turn out to be much less permissible, and shipbuilders are able to significantly reduce the astern power of such ships, making them cheaper at the expense of safety. The low accuracy of inertial-braking characteristics is mainly due to unqualified field tests. Analysis of graphs and tables based on the results of such tests show that the spread in the values of inertial-braking characteristics for ships of the same type reaches 30%, and in some cases even more. In many tables and graphs, inertial-braking characteristics are expressed in relative values and are not suitable for direct use when maneuvering a ship. Finally, even when graphical and/or tabular maneuvering information is available on the navigating bridge, it is difficult to use it when maneuvering a ship at night. The research carried out by the author results in: - creation of an alternative computational method for determining the inertial-braking characteristics of the ship, suitable for use on any on-board computer; - development of an improved methodology for calculating the path and time of acceleration and braking of the ship in various ahead motion modes; - development of a methodology for taking into account the influence of a passing and opponent current on the length of the stopping distance of the ship; - development of methods for solving applied problems, ensuring a decrease in the accident rate of ships during maneuvering. The obtained methods include the development of theoretical foundations, mathematical models and comparison of the calculated inertial-braking characteristics of ships with the data of a full-scale experiment. For the first time, to derive the calculated formulas for the time and stopping distance, theorems are used on the change in the momentum and kinetic energy during accelerated and decelerated motion of the ship. In the course of the study, the problems of calculating and formalizing the inertial-braking characteristics of the ship are being comprehensively solved. For the first time, the hypothesis that the nature of the change in the thrust force of the propeller during reverse can be approximated by linear equations has been substantiated and confirmed. The general results are used to calculate the inertial-braking characteristics of specific ships.
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48

Shreve, Randolph Norris, Warren N. Watson, and Arthur R. Willis. Dyes Classified by Intermediates; Dyes Tabularly Arranged Under Each Intermediate, With Statistical and Other Data for Both Dyes and Intermediates. ... Intermediate Names Alphabetically Arranged. Arkose Press, 2015.

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