Relevant bibliographies by topics / Statisticl analysis

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Statisticl analysis'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Statisticl analysis"

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Anchan, Tanushri. "Crimes Against Women: A Statistical Analysis." Indian Journal of Applied Research 4, no. 2 (October 1, 2011): 8–9. http://dx.doi.org/10.15373/2249555x/feb2014/35.

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Aziz, Nor Azlina Ab, Marizan Mubin, Zuwairie Ibrahim, and Sophan Wahyudi Nawawi. "Statistical Analysis for Swarm Intelligence — Simplified." International Journal of Future Computer and Communication 4, no. 3 (2015): 193–97. http://dx.doi.org/10.7763/ijfcc.2015.v4.383.

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PARK, TAESUNG, KIWOONG KIM, SUNG-GON YI, JIN HYUK KIM, YONG-SUNG LEE, and SEUNGYEOUN LEE. "SPOT INTENSITY RATIO STATISTICS IN TWO-CHANNEL MICROARRAY EXPERIMENTS." Journal of Bioinformatics and Computational Biology 05, no. 04 (August 2007): 865–73. http://dx.doi.org/10.1142/s0219720007002928.

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In two-channel microarray experiments, the image analysis extracts red and green fluorescence intensities. The ratio of the two fluorescence intensities represents the relative abundance of the corresponding DNA sequence. The subsequent analysis is performed by taking a log-transformation of this ratio. Therefore, the statistical analyses depend on accuracy of the ratios calculated from the image analysis. However, not many studies have been proposed for developing more reliable ratio statistics. In this paper, we consider a new type of log-transformed ratio statistic. We compare the new ratio statistic with the conventional ratio statistic commonly used in two-channel microarray experiments. First, under the specific log-normal distributional assumption, we compare analytically the new statistics with the conventional ratio statistic. Second, we compare those ratio statistics using a two-channel microarray data obtained by hybridizing a mixture of mouse RNA and yeast in vitro transcript (IVT). Both comparisons show that the proposed ratio statistic performs better than the conventional one.
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Couturier, Raphaël, and Rubén Pazmiño. "Use of Statistical Implicative Analysis in Complement of Item Analysis." International Journal of Information and Education Technology 6, no. 1 (2016): 39–43. http://dx.doi.org/10.7763/ijiet.2016.v6.655.

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Jumaev, Dilshod Qurbonmuratovich. "Statistical Analysis Of Investment In Construction Organizations." American Journal of Management and Economics Innovations 3, no. 06 (June 10, 2021): 77–85. http://dx.doi.org/10.37547/tajmei/volume03issue06-12.

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In this article reveals the role of the construction sector in the economy. Also, performed economic and statistical analysis of the change in the housing stock and attracted investments in the construction sector. Scientific and practical proposals for solving problems formed in construction have been developed.
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Gonçalves, Tatiel Venâncio, Thâmara Machado e. Silva, Rafael Batista Ferreira, Werther Pereira Ramalho, Ronny José de Moraes, Filipe Viegas de Arruda, and Flávia Pereira Lima. "The Use of Statistical Analyses in Papers and Graduate Programs in the Environmental Sciences area in Brazil." Fronteiras: Journal of Social, Technological and Environmental Science 8, no. 1 (February 22, 2019): 233–41. http://dx.doi.org/10.21664/2238-8869.2019v8i1.p233-241.

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Environmental issues emerge in complex dimensions, which require an interdisciplinary framework in Environmental Sciences. Due to the diversity in statistic methods, the graduate programs need to update to form the environmental scientists. We test the hypothesis that QUALIS A1 Journals in the Environmental Science area use more complex statistical analyses. We describe the tests offered by graduate programs with PhD degree in the Environmental Sciences. 33.5% of 1560 papers evaluated, didn’t present statistical analysis. A1 Journals used more T-test, Chi-Square and Mann-Whitney than B1 Journals. There was no difference in the use of univariate, multivariate and Bayesian analyses. In Brazil there are 37 undergraduate programs in Environmental Sciences, of which 10 don’t offer statistics course. Of 38 courses offered, 73.7% provide only univariate statistics and 34.2% provide multivariate statistics. We conclude that the quality in papers doesn’t depend on the complexity of used statistical analyses, but on their theoretical framework.
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Jatnika, R., M. Haffas, and H. Agustiani. "Learning Statistics Using Universitas Padjadjaran Statistical Analysis Series." Journal of Physics: Conference Series 1179 (July 2019): 012046. http://dx.doi.org/10.1088/1742-6596/1179/1/012046.

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A. Ameen, Abdullah, and Osama H. Abbas. "Comparison of Some Robust Wilks’ Statistics for the One-Way Multivariate Analysis of Variance (MANOVA )." Journal of Al-Qadisiyah for computer science and mathematics 11, no. 2 (August 26, 2019): 42–58. http://dx.doi.org/10.29304/jqcm.2019.11.2.556.

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The classicalWilks' statistic is mostly used to test hypothesesin the one-way multivariate analysis of variance (MANOVA), which is highly sensitive to the effects of outliers. The non-robustness of the test statistics based on normal theory has led many authors to examine various options.In this paper, we presented a robust version of the Wilks' statistic and constructed its approximate distribution.A comparison was made between the proposed statistics and some Wilks' statistics. The Monte Carlo studies are used to obtain performance assessment of test statistics in different data sets.Moreover, the results of the type I error rate and the power of test were considered as statistical tools to compare test statistics.The study reveals that, under normally distributed, the type I error rates for the classical and the proposedWilks' statistics are close to the true significance levels, and the power of the test statistics are so close. In addition, in the case of contaminated distribution, the proposed statistic is the best.
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Matsuzoe, Hiroshi, Jun-ichi Takeuchi, and Shun-ichi Amari. "Equiaffine structures on statistical manifolds and Bayesian statistics." Differential Geometry and its Applications 24, no. 6 (December 2006): 567–78. http://dx.doi.org/10.1016/j.difgeo.2006.02.003.

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Kozak, M., S. Samborski, M. S. Kang, and J. Rozbicki. "Applying statistics for nonsequential yield component analysis – Information." Plant, Soil and Environment 53, No. 10 (January 7, 2008): 456–63. http://dx.doi.org/10.17221/2199-pse.

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In the paper, an application of the methodology for analyzing yield as affected by its components that develop at the same ontogenetic level is discussed; it may also be applied to any model in which several traits developing non-sequentially affect their product. The methodology is called “nonsequential yield component analysis”. Two applications are presented; the proposed approach is compared with path analysis, commonly applied for yield component analysis, and Piepho’s approach. In one example, grain yield of two cultivars of winter triticale (×<i>Triticosecale</i> Wittmack), Fidelio and Bogo, as affected by harvest index and biomass yield, was studied; the results of the three approaches compared were similar. However, in the study of nitrogen uptake as affected by nitrogen-uptake efficiency and crop nitrogen supply (the problem for which yield component analysis may be applied because of the underlying multiplicative model), the results of the methods were different. For both cultivars, path analysis and Piepho’s method showed a much stronger influence of crop nitrogen supply on nitrogen uptake than that of nitrogen-uptake efficiency. In the proposed method, however, both these component traits influenced nitrogen uptake to a similar extent. The proposed method is shown to be methodologically better than the other approaches, and to provide different results in some situations. Hence, the new method should be used for nonsequential yield component analysis although it is suggested that path analysis may be applied if the determination coefficient of the linear model is close to 100%.
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Dissertations / Theses on the topic "Statisticl analysis"

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Vaitkevičius, Robertas. "Duomenų kompiuterinės statistinės analizės technologijos." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2008. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2008~D_20080929_140053-98826.

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Darbo „Duomenų kompiuterinės statistinės analizės technologijos“ tikslas – išanalizuoti ir palyginti įvairių populiarių statistinių paketų galimybes bei pateikti rekomendacijas vartotojui. Šiame darbe buvo išanalizuoti SPSS 8.0 for Windows, STATISTICA 7 ir Minitab 15 English statistiniai paketai. Atlikti statistiniai skaičiavimai su anketos „Apie tai, kaip tu gyveni“ duomenimis, panaudojant minėtus statistinius paketus. Įvertintos šių statistinių paketų galimybės. Sudarytos statistinių paketų lyginamosios analizės lentelės. Pateiktos rekomendacijos vartotojui, padedančios jam pagrįstai pasirinkti tinkamiausią statistinį paketą, atsižvelgiant į vartotojo poreikius ir galimybes. Statistiniam paketui STATISTICA 7 sukurtos dvi makrokomandos, panaudojant šiame pakete integruotą VISUAL BASIC programavimo kalbą. Pirmoji makrokomanda skaičiuoja tiriamųjų anketų užpildymo baigtumo laipsnius. Antroji makrokomanda filtruoja pasirinkto kintamojo duomenis pagal pasirinktą kriterijų. Darbas inovatyvus tuo, kad sukurtos dvi makrokomandos, praplečiančios statistinio paketo STATISTICA 7 galimybes.
The aim of work “The technologies of computer-based statistical analysis of data”- to analyse and to compare the potentials of various popular statistical packages and to propose the recommendations for the consumer. In this work there were analysed SPSS 8.0 For Windows, STATISTICA 7 and Minitab 15 English statistical packages. Using these mentioned packages there were accomplished statistical calculations according to the questionnaire “About that, how do you live” data. There were assessed the potentials of these statistical packages. There were composed the charts of comparative analysis of the statistical packages. Recommendations were given for the consumer, helping him to pick reasonably the best statistical package, considering consumer’s requirements and possibilities. For the statistical package STATISTICA 7 there were created two macros, using VISUAL BASIC computerese integrated in this package. The first macro calculates the completeness degrees of the investigative questionnaires filling. The second macro filters the data of chosen variable according to the chosen criterion. This work is innovative that there were created two macros, extending potentials of statistical package STATISTICA 7.
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Wiberg, Marie H. "Computerized achievement tests : sequential and fixed length tests." Doctoral thesis, Umeå universitet, Statistiska institutionen, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-148.

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The aim of this dissertation is to describe how a computerized achivement test can be constructed and used in practice. Throughout this dissertation the focus is on classifying the examinees into masters and non-masters depending on their ability. However, there has been no attempt to estimate their ability. In paper I, a criterion-referenced computerized test with a fixed number of items is expressed as a statistical inference problem. The theory of optimal design is used to find the test that has the strongest power. A formal proof is provided showing that all items should have the same item characteristics, viz. high discrimination, low guessing and difficulty near the cutoff score, in order to give us the most powerful statistical test. An efficiency study shows how many times more non-optimal items are needed if we do not use optimal items in order to achieve the same power in the test. In paper II, a computerized mastery sequential test is examined using sequential analysis. The focus is on examining the sequential probability ratio test and to minimize the number of items in a test, i.e. to minimize the average sample number function, abbreviated as the ASN function. Conditions under which the ASN function decreases are examined. Further, it is shown that the optimal values are the same for item discrimination and item guessing, but differ for item difficulty compared with tests with fixed number of items. Paper III presents three simulation studies of sequential computerized mastery tests. Three cases are considered, viz. the examinees' responses are either identically distributed, not identically distributed, or not identically distributed together with estimation errors in the item characteristics. The simulations indicate that the observed results from the operating characteristic function differ significantly from the theoretical results. The mean number of items in a test, the distribution of test length and the variance depend on whether the true values of the item characteristics are known and whether they are iid or not. In paper IV computerized tests with both pretested items with known item parameters, and try-out items with unknown item parameters are considered. The aim is to study how the item parameters for try-out items can be estimated in a computerized test. Although the unknown examinees' abilities may act as nuisance parameters, the asymptotic variance of the item parameter estimators can be calculated. Examples show that a more reliable variance estimator yields much larger estimates of the variance than commonly used variance estimators.
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Whitehead, Andile. "Statistical-thermodynamical analysis, using Tsallis statistics, in high energy physics." Master's thesis, University of Cape Town, 2014. http://hdl.handle.net/11427/13391.

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Obtained via the maximisation of a modified entropy, the Tsallis distribution has been used to fit the transverse momentum distributions of identified particles from several high energy experiments. We propose a form of the distribution described in Cleymans and Worku, 2012, and show it to be thermodynamically consistent. Transverse momenta distributions and fits from ALICE, ATLAS, and CMS using both Tsallis and Boltzmann distributions are presented.
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Carlqvist, Håkan. "Multiscale analysis of multi-channel signals." Doctoral thesis, KTH, Matematik (Avd.), 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-230.

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I: Amplitude and phase relationship between alpha and beta oscillations in the human EEG We have studied the relation between two oscillatory patterns within EEG signals (oscillations with main frequency 10 Hz and 20 Hz), with wavelet-based methods. For better comparison, a variant of the continuous wavelet transform, was derived. As a conclusion, the two patterns were closely related and 70-90 % of the activity in the 20 Hz pattern could be seen as a resonance phenomenon of the 10 Hz activity. II: A local discriminant basis algorithm using wavelet packets for discrimination between classes of multidimensional signals We have improved and extended the local discriminant basis algorithm for application on multidimensional signals appearing from multichannels. The improvements includes principal-component analysis and crossvalidation- leave-one out. The method is furthermore applied on two classes of EEG signals, one group of control subjects and one group of subjects with type I diabetes. There was a clear discrimination between the two groups. The discrimination follows known differences in the EEG between the two groups of subjects. III: Improved classification of multidimensional signals using orthogonality properties of a time-frequency library We further improve and refine the method in paper2 and apply it on 4 classes of EEG signals from subjects differing in age and/or sex, which are known factors of EEG alterations. As a method for deciding the best basis we derive an orthogonalbasis- pursuit-like algorithm which works statistically better (Tukey's test for simultaneous confidence intervals) than the basis selection method in the original local discriminant basis algorithm. Other methods included were Fisher's class separability, partial-least-squares and cross-validation-leave-one-subject out. The two groups of younger subjects were almost fully discriminated between each other and to the other groups, while the older subjects were harder to discriminate.
QC 20101001
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Johansson, Mikael, and Erik Jönsson. "Evaluating a cumulative voting process : An analysis of different approaches." Thesis, Umeå University, Department of Statistics, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-34822.

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Kang, Jian. "Analysis of Temperature and Carbon Dioxide Based on Ice Core Data." Thesis, Uppsala University, Department of Statistics, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-126771.

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It is widely considered that the raise of carbon dioxide is a main causeof global warming, but nature scientific has not provided us the completeand precise causes of this phenomenon. We would like to analyze whetherthere exists long-term causality between temperature and carbon dioxidewith the Vostok Ice-Core data from 400,000 years ago to 6,000 years ago.According to the properties of data, intervention analysis and time seriesanalysis with exponential time trend are applied as the methods of univariateanalysis, so that we can fit the deterministic time trends of data,and we select the time series model with exponential time trend as the finalmodel of univariate analysis by comparison. With the idea of Perron in1989, we consider determining the structural break points based on the natureof data, in order to find the best model. Then using a bivariate systemto analyze both temperature and carbon dioxide simultaneously will bereasonable, and the Granger-Causality test is an appropriate one to judgethe forecasting relation between these two series. Finally, the null hypothesisof the test, that carbon dioxide does not Granger-cause temperature,should be rejected, and this is a one way relation. Thus, this article canprovide strong empirical evidence to show that carbon dioxide causes thechange of temperature.

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Berglund, David. "Analysis of Swedish pollutants." Thesis, KTH, Matematik (Inst.), 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-99175.

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Abstract Today’s environmental reports contain flaws in the acquired data. This master thesis has the mission to alleviate the estimations of those flaws. The data in question, originates from Swedish industrial facilities. The thesis involves data-treatment by statistical analysis, which is done through fitting a model by the means of analysis of variance and multilevel modeling. The thesis also involves gathering and work with data from databases, as well as systematic treatment, sorting, categorization and evaluation of the data material. Calculations are made through the SAS statistical analysis program, which rendered estimates of fixed, linear and random effects. The results are presented through graphs and numerical estimates in the later part of the report. Calculations for estimations of the grand pollutant totals are conducted. These are compared to the observed data for relevance. Alternative ways on working on the problem at hand is discussed, as well as problems that have appeared during the work on the master thesis. The relevant code and calculations are attached towards the end.
Sammanfattning   Dagens miljörapportering har brister i den rapporterade datan. Examensarbetet har som avsikt att underlätta skattningen av den saknade datan i rapporteringen, vars data härstammar från svenska företagsutsläpp.   Arbetet innebär en databehandling via statistisk analys, vilken utförs genom modellanpassning via variansanalys och flernivåmodellering. Arbetet omfattar även hämtning och bearbetning av datamaterial ifrån databaser, så väl som systematisk behandling, sortering, indelning och tolkning av dataobservationer.   Beräkningar är utförda i SAS statistiska analysprogram, vilket renderat skattningar och representationer av termer till fasta, linjära och slumpartade effekter. Dessa presenteras med siffror och grafer i senare delen av rapporten. Skattning av totaler beräknas och jämförs med observerad data. Problem och alternativa angreppssätt diskuteras, samt kod och beräkningar bifogas.
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Wang, Tao. "Statistical design and analysis of microarray experiments." Connect to this title online, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1117201363.

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Thesis (Ph. D.)--Ohio State University, 2005.
Title from first page of PDF file. Document formatted into pages; contains ix, 146 p.; also includes graphics (some col.) Includes bibliographical references (p. 145-146). Available online via OhioLINK's ETD Center
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尹再英 and Choi-ying Wan. "Statistical analysis for capture-recapture experiments in discrete time." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2001. http://hub.hku.hk/bib/B31225287.

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Ho, Lai Ping. "Complete spatial randomness tests, intensity-dependent marking and neighbourhood competition of spatial point processes with applications to ecology." HKBU Institutional Repository, 2006. http://repository.hkbu.edu.hk/etd_ra/770.

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Books on the topic "Statisticl analysis"

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Statistical data analysis. Oxford: Clarendon Press, 1998.

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Morrison, Donald F. Multivariate statistical methods. 3rd ed. New York: McGraw-Hill, 1990.

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Multivariate statistical methods. 4th ed. Belmont, CA: Thomson/Brooks/Cole, 2005.

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Methods of multivariate statistics. New York: Wiley-Interscience, 2002.

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W, Hardin James, ed. Common errors in statistics (and how to avoid them). Hoboken, NJ: Wiley-Interscience, 2003.

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Multivariate statistical analysis. 2nd ed. New York: Marcel Dekker, 2004.

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Multivariate statistical analysis. New York: M. Dekker, 1996.

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Tabachnick, Barbara G. Using multivariate statistics. 4th ed. Boston, Mass: Allyn and Bacon, 2001.

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Tabachnick, Barbara G. Using multivariate statistics. 2nd ed. New York: HarperCollins, 1989.

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S, Fidell Linda, ed. Using multivariate statistics. 4th ed. Boston MA: Allyn and Bacon, 2001.

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Book chapters on the topic "Statisticl analysis"

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Frude, Neil. "Statistical Analysis V: Non-parametric Statistics." In A Guide to SPSS/PC+, 141–59. New York, NY: Springer New York, 1987. http://dx.doi.org/10.1007/978-1-4757-8985-0_13.

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Frude, Neil. "Statistical Analysis V: Non-parametric Statistics." In A Guide to SPSS/PC+, 141–59. London: Palgrave Macmillan UK, 1987. http://dx.doi.org/10.1007/978-1-349-09709-8_13.

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Marques de Sá, Joaquim P. "Survival Analysis." In Applied Statistics Using SPSS, STATISTICA and MATLAB, 305–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05804-6_9.

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Marques de Sá, Joaquim P. "Data Structure Analysis." In Applied Statistics Using SPSS, STATISTICA and MATLAB, 283–304. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05804-6_8.

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Lübke, Karsten, Matthias Gehrke, and Norman Markgraf. "Statistical Computing and Data Science in Introductory Statistics." In Studies in Classification, Data Analysis, and Knowledge Organization, 139–50. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-25147-5_9.

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Brinkmeier, Michael, and Thomas Schank. "Network Statistics." In Network Analysis, 293–317. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-31955-9_11.

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Benjamin, Bernard. "Manpower statistics." In Demographic Analysis, 142–58. London: Routledge, 2021. http://dx.doi.org/10.4324/9781003153290-11.

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Sygusch, Nikolai. "Statistical Analysis." In Mechanik, Werkstoffe und Konstruktion im Bauwesen, 41–58. Wiesbaden: Springer Fachmedien Wiesbaden, 2019. http://dx.doi.org/10.1007/978-3-658-27113-8_4.

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Peters, B. Guy. "Statistical Analysis." In Strategies for Comparative Research in Political Science, 210–30. London: Macmillan Education UK, 2013. http://dx.doi.org/10.1007/978-1-137-36722-8_9.

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Fritchey, Grant. "Statistics Analysis." In SQL Server 2012 Query Performance Tuning, 175–209. Berkeley, CA: Apress, 2012. http://dx.doi.org/10.1007/978-1-4302-4204-8_7.

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Conference papers on the topic "Statisticl analysis"

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Lee, Loong Chuen, Choong-Yeun Liong, and Abdul Aziz Jemain. "Q-mode versus R-mode principal component analysis for linear discriminant analysis (LDA)." In THE 3RD ISM INTERNATIONAL STATISTICAL CONFERENCE 2016 (ISM-III): Bringing Professionalism and Prestige in Statistics. Author(s), 2017. http://dx.doi.org/10.1063/1.4982862.

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Radcliffe, Clark J., and Xian Li Huang. "Putting Statistics Into the Statistical Energy Analysis of Automotive Vehicles." In ASME 1993 Design Technical Conferences. American Society of Mechanical Engineers, 1993. http://dx.doi.org/10.1115/detc1993-0248.

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Abstract Sound and vibration transmission modeling methods are important to the design process for high quality automotive vehicles. Statistical Energy Analysis (SEA) is an emerging design tool for the automotive industry that was initially developed in the 1960’s to estimate root-mean-square sound and vibration levels in structures and interior spaces. Although developed to estimate statistical mean values, automotive design application of SEA needs the additional ability to predict statistical variances of the predicted mean values of sound and vibration. This analytical ability would allow analysis of vehicle sound and vibration response sensitivity to changes in vehicle design specifications and their statistical distributions. This paper will present an algorithm to extend the design application of the SEA method through prediction of the variances of RMS responses of vibro-acoustic automobile structures and interior spaces from variances in SEA automotive model physical parameters. The variance analysis is applied to both a simple, complete illustrative example and a more complex automotive vehicle example. Example variance results are verified through comparison with a Monte Carlo test of 2,000 SEA responses whose physical parameters were given Gaussian distributions with means at design values. Analytical predictions of the response statistics agree with the statistics generated by the Monte Carlo method but only require about 1/300 of the computational effort.
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Muhammad Loni, Zia, and Noor M. Khan. "Analysis of fading statistics based on geometrical and statistical channel models." In 2010 International Conference on Emerging Technologies (ICET). IEEE, 2010. http://dx.doi.org/10.1109/icet.2010.5638487.

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De Giorgi, Maria Grazia, Marco Tarantino, and Antonio Ficarella. "Comparisons of Different Wind Power Forecasting Systems." In ASME 2010 10th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2010. http://dx.doi.org/10.1115/esda2010-24262.

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Wind forecasting models are divided in two main categories, physical and statistical. The former are based on Numerical Weather Prediction (NWP). The statistical models, on the other hand, use on-line measurements. In this paper we use hybrid models, which combine elements of both types. In particular three forecast systems based on Artificial Neural Networks have been developed in order to predict power production of a wind farm in different time horizons: 1, 3, 6, 12 and 24 hours. In the first forecast system, the neural network has been used only as a statistic model based on time series of on-line measured wind power, while in the second and third forecast systems different combinations of measured data and numerical weather predictions have been used, improving the performance in the predictions, especially over long time horizons. The error of the different forecast systems is investigated for various forecasting horizons and statistical distributions of the error are calculated and presented.
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Jouvin, Léa, Anne Lemiere, Regis Terrier, Stefan Ohm, Igor Oya, and Christopher van Eldik. "Statistical biases of spectral analysis with the ON-OFF likelihood statistic." In The 34th International Cosmic Ray Conference. Trieste, Italy: Sissa Medialab, 2016. http://dx.doi.org/10.22323/1.236.0871.

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Abdalla, Hesham A., Amany A. El-Sayed, and Ramadan Hamed. "Fuzzy multinomial logistic regression analysis: A multi-objective programming approach." In THE 3RD ISM INTERNATIONAL STATISTICAL CONFERENCE 2016 (ISM-III): Bringing Professionalism and Prestige in Statistics. Author(s), 2017. http://dx.doi.org/10.1063/1.4982855.

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Asrah, Norhaidah Mohd, Maman Abdurachman Djauhari, and Ismail Mohamad. "PLUS highway network analysis: Case of in-coming traffic burden in 2013." In THE 3RD ISM INTERNATIONAL STATISTICAL CONFERENCE 2016 (ISM-III): Bringing Professionalism and Prestige in Statistics. Author(s), 2017. http://dx.doi.org/10.1063/1.4982846.

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Sidik, Mohamad Hazeem, Mohd Rashid Ab Hamid, and Abdullah Ibrahim. "Descriptive analysis of staff satisfaction and turnover intention in a Malaysian University." In THE 3RD ISM INTERNATIONAL STATISTICAL CONFERENCE 2016 (ISM-III): Bringing Professionalism and Prestige in Statistics. Author(s), 2017. http://dx.doi.org/10.1063/1.4982874.

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Suhartono, Muhammad Hisyam Lee, and Sri Rezeki. "Standardized residual as response function for order identification of multi input intervention analysis." In THE 3RD ISM INTERNATIONAL STATISTICAL CONFERENCE 2016 (ISM-III): Bringing Professionalism and Prestige in Statistics. Author(s), 2017. http://dx.doi.org/10.1063/1.4982858.

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Jamaludin, Suhaila. "Streamflow profile classification using functional data analysis: A case study on the Kelantan River Basin." In THE 3RD ISM INTERNATIONAL STATISTICAL CONFERENCE 2016 (ISM-III): Bringing Professionalism and Prestige in Statistics. Author(s), 2017. http://dx.doi.org/10.1063/1.4982836.

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Reports on the topic "Statisticl analysis"

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Hahn, A. A. Statistical data analysis. Office of Scientific and Technical Information (OSTI), November 1994. http://dx.doi.org/10.2172/10119859.

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Mirel, Lisa, Cindy Zhang, Christine Cox, Ye Yeats, Félix Suad El Burai, and Golden Cordell. Comparative analysis of the National Health and Nutrition Examination Survey public-use and restricted-use linked mortality files. Centers for Disease Control and Prevention (U.S.), May 2021. http://dx.doi.org/10.15620/cdc:104744.

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"Objectives—Linking national survey data with administrative data sources enables researchers to conduct analyses that would not be possible with each data source alone. Recently, the Data Linkage Program at the National Center for Health Statistics (NCHS) released updated Linked Mortality Files, including the National Health and Nutrition Examination Survey data linked to the National Death Index mortality files. Two versions of the files were released: restricted-use files available through NCHS and Federal Statistical Research Data Centers and public-use files. To reduce the reidentification risk, statistical disclosure limitation methods were applied to the public-use files before they were released. This included limiting the amount of mortality information available and perturbing cause of death and follow-up time for select records. Methods—To assess the comparability of the restricted-use and public-use files, relative hazard ratios for all-cause and cause-specific mortality using Cox proportional hazards models were estimated and compared. Results—The comparative analysis found that the two data files yield similar descriptive and model results. Suggested citation: Mirel LB, Zhang C, Cox CS, Ye Y, El Burai Félix S, Golden C. Comparative analysis of the National Health and Nutrition Examination Survey public-use and restricted-use linked mortality files. National Health Statistics Reports; no 155. Hyattsville, MD: National Center for Health Statistics. 2021. DOI: https://doi.org/10.15620/cdc:104744. CS323656 nhsr155-508.pdf"
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Parzen, Emanuel. Quantile Statistical Data Analysis. Fort Belvoir, VA: Defense Technical Information Center, February 1987. http://dx.doi.org/10.21236/ada185181.

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Banzhaf, H. Spencer. The Value of Statistical Life: A Meta-analysis of Meta-analyses. Cambridge, MA: National Bureau of Economic Research, August 2021. http://dx.doi.org/10.3386/w29185.

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Anderson, Theodore W. Time Series Analysis and Multivariate Statistical Analysis. Fort Belvoir, VA: Defense Technical Information Center, November 1988. http://dx.doi.org/10.21236/ada202273.

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Anderson, Theodore W. Time Series Analysis and Multivariate Statistical Analysis. Fort Belvoir, VA: Defense Technical Information Center, September 1985. http://dx.doi.org/10.21236/ada161375.

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Zoltowski, Michael D. Analysis of Statistical Performance Measures. Fort Belvoir, VA: Defense Technical Information Center, December 2002. http://dx.doi.org/10.21236/ada414936.

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Zoltowski, Michael D. Analysis of Statistical Performance Measures. Fort Belvoir, VA: Defense Technical Information Center, May 2004. http://dx.doi.org/10.21236/ada422819.

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Cutlip, L. B. Statistical analysis of fluorimeter operation. Office of Scientific and Technical Information (OSTI), January 1991. http://dx.doi.org/10.2172/6256080.

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Salama, Ibrahim A. Nonparametric Statistics: Weighted Rankings Analysis. Fort Belvoir, VA: Defense Technical Information Center, April 1993. http://dx.doi.org/10.21236/ada266607.

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