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Journal articles on the topic 'Statistics'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Durbin, J. "Statistics and Statistical Science." Journal of the Royal Statistical Society. Series A (General) 150, no. 3 (1987): 177. http://dx.doi.org/10.2307/2981472.

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2

Fernholz, Robert, and Cary Maguire. "The Statistics of Statistical Arbitrage." Financial Analysts Journal 63, no. 5 (2007): 46–52. http://dx.doi.org/10.2469/faj.v63.n5.4839.

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3

Fernholz, Robert, and Cary Maguire. "The Statistics of Statistical Arbitrage." CFA Digest 38, no. 1 (2008): 83–84. http://dx.doi.org/10.2469/dig.v38.n1.34.

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4

Pant, N., A. Rotti, and T. Souradeep. "Statistics of statistical anisotropy measures." Journal of Physics: Conference Series 484 (March 5, 2014): 012046. http://dx.doi.org/10.1088/1742-6596/484/1/012046.

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5

Nelder, John A. "From Statistics to Statistical Science." Journal of the Royal Statistical Society: Series D (The Statistician) 48, no. 2 (1999): 257–69. http://dx.doi.org/10.1111/1467-9884.00187.

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6

BEYTH-MAROM, RUTH, FIONA FIDLER, and GEOFF CUMMING. "STATISTICAL COGNITION: TOWARDS EVIDENCE-BASED PRACTICE IN STATISTICS AND STATISTICS EDUCATION." STATISTICS EDUCATION RESEARCH JOURNAL 7, no. 2 (2008): 20–39. http://dx.doi.org/10.52041/serj.v7i2.468.

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Practitioners and teachers should be able to justify their chosen techniques by taking into account research results: This is evidence-based practice (EBP). We argue that, specifically, statistical practice and statistics education should be guided by evidence, and we propose statistical cognition (SC) as an integration of theory, research, and application to support EBP. SC is an interdisciplinary research field, and a way of thinking. We identify three facets of SC—normative, descriptive, and prescriptive— and discuss their mutual influences. Unfortunately, the three components are studied b

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7

BEYTH-MAROM, RUTH, FIONA FIDLER, and GEOFF CUMMING. "STATISTICAL COGNITION: TOWARDS EVIDENCE-BASED PRACTICE IN STATISTICS AND STATISTICS EDUCATION." STATISTICS EDUCATION RESEARCH JOURNAL 7, no. 2 (2008): 20–39. http://dx.doi.org/10.52041/serj.v7i2.468.

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Practitioners and teachers should be able to justify their chosen techniques by taking into account research results: This is evidence-based practice (EBP). We argue that, specifically, statistical practice and statistics education should be guided by evidence, and we propose statistical cognition (SC) as an integration of theory, research, and application to support EBP. SC is an interdisciplinary research field, and a way of thinking. We identify three facets of SC—normative, descriptive, and prescriptive— and discuss their mutual influences. Unfortunately, the three components are studied b

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8

SAIDI, SITI SHAHIRAH, and NYET MOI SIEW. "ASSESSING SECONDARY SCHOOL STUDENTS’ STATISTICAL REASONING, ATTITUDE TOWARDS STATISTICS, AND STATISTICS ANXIETY." STATISTICS EDUCATION RESEARCH JOURNAL 21, no. 1 (2022): 6. http://dx.doi.org/10.52041/serj.v21i1.67.

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Assessment on statistical reasoning is an area of academic interest in statistics education research in tandem with attitudes and anxiety towards statistics, since many studies report students are likely to encounter problems with statistics due to these two non-cognitive factors. In this study, 320 Tenth Grade science stream students from Sabah, Malaysia were tested using the Statistical Reasoning Test Survey (SRTS), the Survey of Attitudes towards Statistics (SATS), and the Statistical Anxiety Scale (SAS), which assessed their statistical reasoning, attitude, and anxiety, respectively. Gener

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9

Klaus, Bernd. "Statistical relevance—relevant statistics, part I." EMBO Journal 34, no. 22 (2015): 2727–30. http://dx.doi.org/10.15252/embj.201592958.

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10

Il'ya, Matveev, Savchenko Dmitrii, and Ulyanova Vera. "Legal statistics and the statistical jurisprudence." Ideas and Ideals 2, no. 4 (2015): 51–58. http://dx.doi.org/10.17212/2075-0862-2015-4.2-51-58.

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11

Wada, Yasuhiko, and Nobuhisa Kashiwagi. "Selecting Statistical Models with Information Statistics." Journal of Dairy Science 73, no. 12 (1990): 3575–82. http://dx.doi.org/10.3168/jds.s0022-0302(90)79058-3.

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12

Oldham, Jackie. "Statistical tests (Part 1): descriptive statistics." Nursing Standard 7, no. 43 (1993): 30–35. http://dx.doi.org/10.7748/ns.7.43.30.s49.

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13

Booth, J., and W. Mudryk. "Statistical quality control at statistics canada." Communications in Statistics - Theory and Methods 14, no. 11 (1985): 2589–603. http://dx.doi.org/10.1080/03610928508829063.

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14

Leech, Nancy L. "Statistics Poker: Reinforcing Basic Statistical Concepts." Teaching Statistics 30, no. 1 (2008): 26–28. http://dx.doi.org/10.1111/j.1467-9639.2007.00309.x.

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15

Leech, Nancy L. "Statistics Poker: Reinforcing Basic Statistical Concepts." Teaching Statistics 30, no. 1 (2008): 26–28. http://dx.doi.org/10.1111/j.1467-9639.2008.00309.x.

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16

Hoover, Donald R. "Basic Statistics and Pharmaceutical Statistical Applications." Journal of Biopharmaceutical Statistics 25, no. 1 (2015): 226–29. http://dx.doi.org/10.1080/10543406.2015.985162.

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17

Ludbrook, John, and Hugh Dudley. "ISSUES IN BIOMEDICAL STATISTICS: STATISTICAL INFERENCE." ANZ Journal of Surgery 64, no. 9 (1994): 630–36. http://dx.doi.org/10.1111/j.1445-2197.1994.tb02308.x.

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18

Clyde, Merlise. "The Statistical Exorcist: Dispelling Statistics Anxiety." Technometrics 36, no. 3 (1994): 330. http://dx.doi.org/10.1080/00401706.1994.10485827.

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19

Parvan, A. S., and T. S. Biró. "Rényi statistics in equilibrium statistical mechanics." Physics Letters A 374, no. 19-20 (2010): 1951–57. http://dx.doi.org/10.1016/j.physleta.2010.03.007.

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20

Li, Ning. "Basic Statistics and Pharmaceutical Statistical Applications." Controlled Clinical Trials 21, no. 6 (2000): 593–94. http://dx.doi.org/10.1016/s0197-2456(00)00090-8.

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21

Obremski, Thomas E. "The Statistical Exorcist: Dispelling Statistics Anxiety." Journal of Quality Technology 17, no. 3 (1985): 172. http://dx.doi.org/10.1080/00224065.1985.11978961.

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22

McCluskey, Anthony, and Abdul Ghaaliq Lalkhen. "Statistics III: Probability and statistical tests." Continuing Education in Anaesthesia Critical Care & Pain 7, no. 5 (2007): 167–70. http://dx.doi.org/10.1093/bjaceaccp/mkm028.

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23

Barlow, Richard E., Myles Hollander, and Frank Proschan. "The Statistical Exorcist: Dispelling Statistics Anxiety." Journal of the American Statistical Association 81, no. 393 (1986): 258. http://dx.doi.org/10.2307/2288009.

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24

Orlov, A. I. "STATISTICAL SIMULATIONS METHOD IN APPLIED STATISTICS." Industrial laboratory. Diagnostics of materials 85, no. 5 (2019): 67–79. http://dx.doi.org/10.26896/1028-6861-2019-85-5-67-79.

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The new paradigm of mathematical research methods is based on the effective application of information and communication technologies both in calculating the characteristics of the methods of data analysis and in simulation modeling. Pseudo-random number generators underlie many modern data analysis technologies. To solve specific applied problems, researchers permanently develop the new methods for processing statistical data, i.e., measurement results (observations, tests, analyzes, experiments) and expert estimations. The properties of each newly proposed method must be studied. The intelle

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25

Anagboso, Mavis, Allan Flowers, Geoff Tily, and Gavin Wallis. "Official statistical publications and economic statistics." Economic & Labour Market Review 1, no. 1 (2007): 19–26. http://dx.doi.org/10.1057/palgrave.elmr.1410007.

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26

Martynov, G. V. "Probabilistic-statistical programs from ?applied statistics?" Journal of Soviet Mathematics 50, no. 3 (1990): 1643–84. http://dx.doi.org/10.1007/bf01096290.

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27

Kaufman, Jay S. "Statistics, Adjusted Statistics, and Maladjusted Statistics." American Journal of Law & Medicine 43, no. 2-3 (2017): 193–208. http://dx.doi.org/10.1177/0098858817723659.

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Statistical adjustment is a ubiquitous practice in all quantitative fields that is meant to correct for improprieties or limitations in observed data, to remove the influence of nuisance variables or to turn observed correlations into causal inferences. These adjustments proceed by reporting not what was observed in the real world, but instead modeling what would have been observed in an imaginary world in which specific nuisances and improprieties are absent. These techniques are powerful and useful inferential tools, but their application can be hazardous or deleterious if consumers of the a

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28

van den Besselaar, Peter. "Descriptive statistics, inferential statistics, rhetorical statistics." Journal of the American Society for Information Science and Technology 54, no. 11 (2003): 1077. http://dx.doi.org/10.1002/asi.10304.

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29

Smith, P. A. "Redesign in a statistical office – sociodemographic statistics in the Office for National Statistics." Statistical Journal of the IAOS: Journal of the International Association for Official Statistics 30, no. 4 (2014): 431–35. https://doi.org/10.3233/sji-140819.

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The Office for National Statistics (ONS) has developed a Strategy setting out the areas in which it aims to make progress in the coming years in order to be well-placed to take advantage of the opportunities offered by technology and new data sources, and to meet the challenges of anticipated budget constraints and falling response rates. One key part of this is a project investigating options for future provision of population and small area sociodemographic statistics. I will outline the way the options in this project interact with ONS's existing social survey programme and the system for c

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30

Rasch, D., and M. L. Tiku. "Robustness of Statistical Methods and Nonparametric Statistics." Biometrics 42, no. 3 (1986): 684. http://dx.doi.org/10.2307/2531231.

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31

Loosmore, N. Bert, and E. David Ford. "STATISTICAL INFERENCE USING THEGORKPOINT PATTERN SPATIAL STATISTICS." Ecology 87, no. 8 (2006): 1925–31. http://dx.doi.org/10.1890/0012-9658(2006)87[1925:siutgo]2.0.co;2.

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32

Rohana, Rohana, and Yunika Lestaria Ningsih. "STUDENTS’ STATISTICAL REASONING IN STATISTICS METHOD COURSE." Jurnal Pendidikan Matematika 14, no. 1 (2019): 81–90. http://dx.doi.org/10.22342/jpm.14.1.6732.81-90.

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The role of statistics is wide and crucial in daily life, making statistics important. Many students have difficulty understanding statistics. This study aims to determine students' statistical reasoning about inference statistics, which is limited to the subject matter of the testing hypotheses about two-sample hypotheses testing. This study used descriptive research method. The subjects were 25 students of third-year Mathematics Education Departement at Universitas PGRI Palembang in the academic year 2018/2019. Data were collected through tests and interviews. Data were analyzed through desc

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33

Holt, Lori L., and Andrew J. Lotto. "What are the statistics in statistical learning?" Journal of the Acoustical Society of America 114, no. 4 (2003): 2444. http://dx.doi.org/10.1121/1.4779327.

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34

Gentle, James E. "Courses in Statistical Computing and Computational Statistics." American Statistician 58, no. 1 (2004): 2–5. http://dx.doi.org/10.1198/0003130042908.

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35

Parvan, A. S., and T. S. Biró. "Equilibrium statistical mechanics for incomplete nonextensive statistics." Physics Letters A 375, no. 3 (2011): 372–78. http://dx.doi.org/10.1016/j.physleta.2010.12.022.

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36

Wang, Qiuping A. "Incomplete statistics: nonextensive generalizations of statistical mechanics." Chaos, Solitons & Fractals 12, no. 8 (2001): 1431–37. http://dx.doi.org/10.1016/s0960-0779(00)00113-2.

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37

Ziegel, Eric. "Robustness of Statistical Methods and Nonparametric Statistics." Technometrics 31, no. 2 (1989): 267–68. http://dx.doi.org/10.1080/00401706.1989.10488533.

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38

Régnier, Jean-Claude, and Ekaterina Kuznetsova. "Teaching of Statistics: Formation of Statistical Reasoning." Procedia - Social and Behavioral Sciences 154 (October 2014): 99–103. http://dx.doi.org/10.1016/j.sbspro.2014.10.119.

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39

Markiv, B. B., R. M. Tokarchuk, P. P. Kostrobij, and M. V. Tokarchuk. "Nonequilibrium statistical operator method in Renyi statistics." Physica A: Statistical Mechanics and its Applications 390, no. 5 (2011): 785–91. http://dx.doi.org/10.1016/j.physa.2010.11.009.

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40

Rao, T. J. "National statistical commission and Indian official statistics." Resonance 18, no. 12 (2013): 1062–72. http://dx.doi.org/10.1007/s12045-013-0134-z.

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41

Isakov, S. B. "Generalization of quantum statistics in statistical mechanics." International Journal of Theoretical Physics 32, no. 5 (1993): 737–67. http://dx.doi.org/10.1007/bf00671663.

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42

Darby, Keith V., and K. Hinkelmann. "Experimental Design, Statistical Models, and Genetic Statistics." Applied Statistics 34, no. 1 (1985): 79. http://dx.doi.org/10.2307/2347889.

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43

Kimber, Alan, D. Rasch, and M. L. Tiku. "Robustness of Statistical Methods and Nonparametric Statistics." Journal of the Royal Statistical Society. Series A (General) 150, no. 3 (1987): 282. http://dx.doi.org/10.2307/2981481.

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44

Curran-Everett, Douglas. "Explorations in statistics: statistical facets of reproducibility." Advances in Physiology Education 40, no. 2 (2016): 248–52. http://dx.doi.org/10.1152/advan.00042.2016.

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Learning about statistics is a lot like learning about science: the learning is more meaningful if you can actively explore. This eleventh installment of Explorations in Statistics explores statistical facets of reproducibility. If we obtain an experimental result that is scientifically meaningful and statistically unusual, we would like to know that our result reflects a general biological phenomenon that another researcher could reproduce if (s)he repeated our experiment. But more often than not, we may learn this researcher cannot replicate our result. The National Institutes of Health and

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45

KADOYA, Chitoshi. "Road Accident Statistics." Journal of UOEH 10, no. 2 (1988): 233. http://dx.doi.org/10.7888/juoeh.10.233.

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46

Malaguerra, Carlo, and Raul Suarez de Miguel. "Cantonal statistics and federal statistics: process of integration of the statistical system of Switzerland." Statistical Journal of the United Nations Economic Commission for Europe 14, no. 1 (1997): 89–104. http://dx.doi.org/10.3233/sju-1997-14109.

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47

Schulte Nordholt, Eric. "Statistical disclosure control (SDC) in practice: some examples in official statistics of Statistics Netherlands." Statistical Journal of the United Nations Economic Commission for Europe 18, no. 4 (2001): 321–28. http://dx.doi.org/10.3233/sju-2001-18406.

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48

Zipfel, Adreas, and Paul Grob. "How Much Detail on Confirmatory Statistics and Exploratory Statistics Must a Statistical Report Contain?" Drug Information Journal 29, no. 2 (1995): 479–81. http://dx.doi.org/10.1177/009286159502900218.

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49

Linhart, Aleš. "(Statistically speaking, sports is healthy for your heart, but statistics can be tricky)." Cor et Vasa 62, no. 4 (2020): 351–52. http://dx.doi.org/10.33678/cor.2020.079.

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50

Driscoll, Michale F., and W. D. Laigh. "Characterizations and o-statistic representations of lu-statistics." Communications in Statistics - Theory and Methods 17, no. 8 (1988): 2763–77. http://dx.doi.org/10.1080/03610928808829769.

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