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1

A, Woodward Wayne, ed. Statistical analysis quick reference guidebook: With SPSS examples. Thousand Oaks, Calif: Sage Publications, 2007.

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2

Jack, Shostak, ed. Common statistical methods for clinical research with SAS examples. 3rd ed. Cary, NC: SAS Institute Inc., 2010.

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3

Common statistical methods for clinical research with SAS examples. 2nd ed. Cary, NC: SAS Institute Inc., 2002.

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4

Walker, Glenn A. Common statistical methods for clinical research with SAS examples. Cary, N.C: SAS Institute, 1997.

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5

Walker, Glenn A. Common statistical methods for clinical research with SAS examples. San Diego: Collins-Wellesley Pub., 1996.

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6

Stapor, Katarzyna. Introduction to Probabilistic and Statistical Methods with Examples in R. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45799-0.

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P, Mukhopadhyay, ed. Phase transformations: Examples from titanium and zirconium alloys. Amsterdam: Elsevier/Pergamon, 2007.

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8

1938-, Gupta A. K., ed. Information-statistical data mining: Warehouse integration with examples of Oracle basics. Boston: Kluwer Academic, 2004.

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9

Sy, Bon K. Information-statistical data mining: Warehouse integration with examples of Oracle basics. Boston: Kluwer Academic, 2004.

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10

Rodda, Harvey. Understanding mathematical and statistical techniques in hydrology: An examples-based approach. Chichester, West Sussex, UK: John Wiley and Sons, 2015.

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11

Sy, Bon K. Information-Statistical Data Mining: Warehouse Integration with Examples of Oracle Basics. Boston, MA: Springer US, 2004.

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12

Theus, Martin. Interactive graphics for data analysis: Principles and examples. Boca Raton: Chapman & Hall/CRC, 2008.

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13

Statistical tools for nonlinear regression: A practical guide with S-PLUS and R examples. 2nd ed. New York: Springer, 2004.

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14

Statistical regression line-fitting in the oil & gas industry: A descriptive guide with Microsoft Excel examples. Tulsa, Okla: PennWell Corp., 2003.

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15

Mockus, Jonas. A set of examples of global and discrete optimization: Applications of Bayesian Heuristic Approach. Dordrecht: Kluwer Academic, 2000.

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16

Nemec, Amanda F. Linnell. Analysis of repeated measures and time series: An introduction with forestry examples. Victoria, BC: Province of British Columbia, Ministry of Forests Research Program, 1996.

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17

(Firm), Numerical Recipes Software, ed. Numerical recipes: Routines and examples in BASIC. Cambridge [England]: Cambridge University Press, 1991.

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18

Bohnenkamp, Wendy. SAS Graphics for Java: Examples using SAS AppDev studio and the Output delivery system. Cary, N.C: SAS Institute, 2007.

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19

van Kooten, G. Cornelis, and Linda Voss, eds. International trade in forest products: lumber trade disputes, models and examples. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789248234.0000.

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Abstract Because of the long-standing Canada-United States lumber trade dispute and the current pressure on the world's forests as a renewable energy source, much attention has been directed toward the modelling of international trade in wood products. Two types of trade models are described in this book: one is rooted in economic theory and mathematical programming, and the other consists of two econometric/statistical models--a gravity model rooted in theory and an approach known as GVAR that relies on time series analyses. The purpose of the book is to provide the background theory behind models and enable readers to easily construct their own models to analyze policy questions, whether in forestry or another sector. Examples in the book illustrate how models can be used to say something about a variety of issues, including identification of the gains and losses to various players in the North American softwood lumber business, and the potential for redirecting sales of lumber to countries outside the United States. The discussion is expanded to include other products besides lumber, and used to examine, for example, the effects of log export restrictions by one naton on all other forestry jurisdictions, the impacts of climate policies as they relate to the global forest sector, and the impact of oil prices on forest product markets throughout the world.
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20

Sincich, Terry. Business statistics by example. 5th ed. Upper Saddle River, N.J: Prentice-Hall International, 1996.

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21

Sincich, Terry. Business statistics by example. 5th ed. Upper Saddle River, NJ: Prentice Hall, 1996.

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22

Business statistics by example. 5th ed. Upper Saddle River, N.J: Prentice-Hall, 1995.

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23

Sincich, Terry. Business statistics by example. 3rd ed. San Francisco: Dellen Pub. Co., 1989.

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24

Business statistics by example. 2nd ed. San Francisco: Dellen Pub. Co., 1986.

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25

Sincich, Terry. Business statistics by example. 4th ed. New York: Dellen, 1992.

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26

Statistics by example. 5th ed. New York: Dellen, 1993.

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27

Statistics by example. 3rd ed. San Francisco: Dellen Pub. Co., 1987.

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28

Statistics by example. 2nd ed. San Francisco, Calif: Dellen Pub. Co., 1985.

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29

Statistics by example. 4th ed. San Francisco: Dellen Pub. Co., 1990.

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30

Panova, Anna. Tourism statistics. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1046178.

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Contains a detailed overview of the basic concepts of the General theory of statistics, groups of statistics, absolute, relative and average values, statistical study of the relationship of socio-economic phenomena, time series and methods for the detection of trend in time series, indices and their use in tourism. The theoretical material is illustrated with examples from tourism and hospitality. Detail the history of the development, the subject and objectives, the indicator system of tourism statistics. Meets the requirements of Federal state educational standards of higher education of the last generation. For undergraduate students, graduate destinations 43.03.02, 43.04.02 "Tourism" and 43.03.03, 43.04.03 "Hospitality". It will be useful to employees of organizations of tourism, as well as receiving the second higher economic education.
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31

Paliy, Irina. Probability theory and mathematical statistics. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1065828.

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The tutorial is an introductory course in probability theory and mathematical statistics. Elements of combinatorics, basic concepts and theorems of probability theory, discrete random variables, continuous random variables, some limit theorems, one-dimensional and two-dimensional samples, point and interval estimation of parameters of the general population, testing of statistical hypotheses, elements of queuing theory are considered. The presentation of the theoretical material is accompanied by a large number of detailed examples of problem solving. For students of technical and economic fields of study and specialties, studying under the bachelor's and specialty programs.
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32

Statistics and the Media: Foundations in Statistical Thinking through Media Examples. Cognella Academic Publishing, 2017.

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33

Statistical Rethinking: A Bayesian Course with R Examples. CRC Press LLC, 2015.

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34

Notz, Dennis William, and Elizabeth Stasny Pearl. Electronic Encyclopedia of Statistical Examples and Exercises (EESEE). W. H. Freeman and Co., 2000.

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35

Elliott, Alan C., and Wayne A. Woodward. Statistical Analysis Quick Reference Guidebook: With SPSS Examples. Sage Publications, Inc, 2006.

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36

Scutari, Marco, and Jean-Baptiste Denis. Bayesian Networks: With Examples in R. CRC Press LLC, 2014.

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37

Denis, Jean Baptiste, and Marco Scutari. Bayesian Networks: With Examples in R. Taylor & Francis Group, 2014.

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38

Denis, Jean Baptiste, and Marco Scutari. Bayesian Networks: With Examples in R. Taylor & Francis Group, 2014.

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39

Scutari, Marco, and Jean-Baptiste Denis. Bayesian Networks: With Examples in R. Taylor & Francis Group, 2014.

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40

Gentle, James. Statistical Analysis of Financial Data: With Examples in R. Taylor & Francis Group, 2020.

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41

Gentle, James. Statistical Analysis of Financial Data: With Examples in R. Taylor & Francis Group, 2020.

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42

Gentle, James. Statistical Analysis of Financial Data: With Examples in R. Taylor & Francis Group, 2020.

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43

Gentle, James. Statistical Analysis of Financial Data: With Examples in R. Taylor & Francis Group, 2020.

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44

Gentle, James. Statistical Analysis of Financial Data: With Examples in R. Taylor & Francis Group, 2020.

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45

Hertel, Peter. Quantum Theory and Statistical Thermodynamics: Principles and Worked Examples. Springer, 2018.

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46

Stapor, Katarzyna. Introduction to Probabilistic and Statistical Methods with Examples in R. Springer, 2020.

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47

Collins, Claire A., and Frances M. Seeney. Statistical Experiment Design and Interpretation: An Introduction with Agricultural Examples. Wiley, 1999.

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48

Benedek, George B. Physics with Illustrative Examples from Medicine and Biology Statistical Physics. Springer, 2012.

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49

Applied Bayesian Statistics With R And Openbugs Examples. Springer-Verlag New York Inc., 2012.

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50

Univariate Time Series in Geosciences: Theory and Examples. Springer, 2005.

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