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Relevant bibliographies by topics / Lognormal distributions

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Academic literature on the topic 'Lognormal distributions'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 February 2022

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Journal articles on the topic "Lognormal distributions"

1

Liu, Z., J. Almhana, and R. McGorman. "Approximating Lognormal Sum Distributions With Power Lognormal Distributions." IEEE Transactions on Vehicular Technology 57, no. 4 (2008): 2611–17. http://dx.doi.org/10.1109/tvt.2007.912338.

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Hingley, Peter. "Estimating the mean of a small sample under the two parameter lognormal distribution." Texts in Biomathematics 1 (March 3, 2018): 100. http://dx.doi.org/10.11145/texts.2018.02.027.

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Lognormally distributed variables are found in biological, economic and other systems. Here the sampling distributions of maximum likelihood estimates (MLE) for parameters are developed when data are lognormally distributed and estimation is carried out either by the correct lognormal model or by the mis-specified normal distribution. This is designed as an aid to experimental design when drawing a small sample under an assumption that the population follows a normal distribution while in fact it follows a lognormal distribution. Distributions are derived analytically as far as possible by usi

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Liu, Z., J. Almhana, F. Wang, and R. Mcgorman. "Mixture Lognormal Approximations to Lognormal Sum Distributions." IEEE Communications Letters 11, no. 9 (2007): 711–13. http://dx.doi.org/10.1109/lcomm.2007.070656.

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Cao, Quang V., and Qinglin Wu. "Characterizing wood fiber and particle length with a mixture distribution and a segmented distribution." Holzforschung 61, no. 2 (2007): 124–30. http://dx.doi.org/10.1515/hf.2007.023.

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Abstract The length data from 12 samples of wood fibers and particles were described using lognormal and Weibull distributions. While both distributions fitted the middle range of the data well, the lognormal distribution provided a closer fit for short fibers and particles and the Weibull distribution was more appropriate for long ones. A mixture of the lognormal and Weibull distributions was developed using a variable weight to allow the new distribution to take the lognormal form for short fibers and gradually change to the Weibull form for long fibers. In the segmented distribution approac

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Leipnik, Roy B. "On lognormal random variables: I-the characteristic function." Journal of the Australian Mathematical Society. Series B. Applied Mathematics 32, no. 3 (1991): 327–47. http://dx.doi.org/10.1017/s0334270000006901.

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AbstractThe characteristic function of a lognormal random variable is calculated in closed form as a rapidly convergent series of Hermite functions in a logarithmic variable. The series coefficients are Nielsen numbers, defined recursively in terms of Riemann zeta functions. Divergence problems are avoided by deriving a functional differential equation, solving the equation by a de Bruijn integral transform, expanding the resulting reciprocal Gamma function kernel in a series, and then invoking a convergent termwise integration. Applications of the results and methods to the distribution of a

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Beaulieu, N. C., and Q. Xie. "An Optimal Lognormal Approximation to Lognormal Sum Distributions." IEEE Transactions on Vehicular Technology 53, no. 2 (2004): 479–89. http://dx.doi.org/10.1109/tvt.2004.823494.

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Khatoon, Rukaiya, Zahir Shah, Ranjeev Misra, and Rupjyoti Gogoi. "Study of long-term flux and photon index distributions of blazars using RXTE observations." Monthly Notices of the Royal Astronomical Society 491, no. 2 (2019): 1934–40. http://dx.doi.org/10.1093/mnras/stz3108.

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ABSTRACT We present a detailed study of flux and index distributions of three blazars [one flat-spectrum radio quasar (FSRQ) and two BL Lacertae objects (BL Lacs)] by using 16 yr of Rossi X-ray Timing Explorer (RXTE) archival data. The three blazars were chosen such that their flux and index distributions have sufficient number of data points (≥90) with relatively less uncertainty $\left(\overline{\sigma _{\rm err}^{2}}/\sigma ^{2} &lt; 0.2\right)$ in light curves. Anderson–Darling (AD) test and histogram fitting show that flux distribution of FSRQ 3C 273 is lognormal, while its photon ind

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SHIMIZU, Kunio. "Applications of Lognormal Distributions." Japanese journal of applied statistics 17, no. 1 (1988): 55–59. http://dx.doi.org/10.5023/jappstat.17.55.

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Caruthers, Jerald W. "Lognormal bubble size distributions." Journal of the Acoustical Society of America 142, no. 4 (2017): 2534. http://dx.doi.org/10.1121/1.5014259.

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Cooper, Douglas. "Comparing Three Environmental Particle Size Distributions: Power Law (FED-STD-209D), Lognormal, Approximate Lognormal (MIL-STD-1246B)." Journal of the IEST 34, no. 1 (1991): 21–24. http://dx.doi.org/10.17764/jiet.2.34.1.5p8gp7w8326t37tm.

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Particle size strongly influences particle behavior. To summarize the distribution of particle sizes, a distribution function can be used. The characteristics of the particle size distributions chosen are important for two specification documents currently under revision: (1) FED-STD-209D, concerning air-cleanliness in manufacturing, which uses cumulative particle size distributions that are linear when plotted on log-log axes; these are power law distributions. (2) MIL-STD-1246B, "Product Cleanliness Levels and Contamination Control Programs," primarily concerning surface cleanliness, which u

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Dissertations / Theses on the topic "Lognormal distributions"

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Pavelka, Roman. "Využití kvantilových funkcí při kostrukci pravděpodobnostních modelů mzdových rozdělení." Doctoral thesis, Vysoká škola ekonomická v Praze, 2004. http://www.nusl.cz/ntk/nusl-77099.

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Over the course of years from 1995 to 2008 was acquired by Average Earnings Information System under the professional gestation of the Czech Republic Ministry of Labor and Social Affairs wage and personal data by individual employees. Thanks to the fact that in this statistical survey are collected wage and personal data by concrete employed persons it is possible to obtain a wage distribution, so it how this wages spread out among individual employees. Values that wages can be assumed in whole wage interval are not deterministical but they result from interactions of many random influences. T

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KRISHNAMURTHY, ANUSHA. "STATISTICAL ESTIMATION AND REDUCTION OF LEAKAGE CURRENT BY INPUT VECTOR CONTROL WITH PROCESS VARIATIONS CONSIDERED." University of Cincinnati / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1141407299.

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Ginos, Brenda Faith. "Parameter Estimation for the Lognormal Distribution." Diss., CLICK HERE for online access, 2009. http://contentdm.lib.byu.edu/ETD/image/etd3205.pdf.

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Aristizabal, Rodrigo J. "Estimating the Parameters of the Three-Parameter Lognormal Distribution." FIU Digital Commons, 2012. http://digitalcommons.fiu.edu/etd/575.

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The three-parameter lognormal distribution is widely used in many areas of science. Some modifications have been proposed to improve the maximum likelihood estimator. In some cases, however, the modified maximum likelihood estimates do not exist or the procedure encounters multiple estimates. The purpose of this research is focused on estimating the threshold or location parameter , because when is known, then the other two estimated parameters are obtained from the first two MLE equations. In this research, a method for constructing confidence intervals, confidence limits, and point estimator

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Kosugi, Ken'ichirou. "Analysis of Hydraulic Properties of Forest Soil with Lognormal Distribution Models." Kyoto University, 1996. http://hdl.handle.net/2433/78074.

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Cooper, Richard. "Change Point Analysis for Lognormal Distribution Based on Schwarz Information Criterion." Bowling Green State University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1594660837226868.

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Jesus, Sandra Rêgo de. "Análise bayesiana objetiva para as distribuições normal generalizada e lognormal generalizada." Universidade Federal de São Carlos, 2014. https://repositorio.ufscar.br/handle/ufscar/4495.

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Made available in DSpace on 2016-06-02T20:04:53Z (GMT). No. of bitstreams: 1 6424.pdf: 5426262 bytes, checksum: 82bb9386f85845b0d3db787265ea8236 (MD5) Previous issue date: 2014-11-21<br>The Generalized Normal (GN) and Generalized lognormal (logGN) distributions are flexible for accommodating features present in the data that are not captured by traditional distribution, such as the normal and the lognormal ones, respectively. These distributions are considered to be tools for the reduction of outliers and for the obtention of robust estimates. However, computational problems have always been

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Giesen, Kristian [Verfasser], Jens [Akademischer Betreuer] Südekum, and Joachim [Akademischer Betreuer] Prinz. "Zipf's Law for Cities and the Double-Pareto-Lognormal Distribution / Kristian Giesen. Gutachter: Joachim Prinz. Betreuer: Jens Südekum." Duisburg, 2012. http://d-nb.info/1024851893/34.

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Maggi, Cacea Furlan. "Determinação do índice de disponibilidade de umidade para a Região Oeste do Paraná." Universidade Estadual do Oeste do Parana, 2006. http://tede.unioeste.br:8080/tede/handle/tede/314.

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Made available in DSpace on 2017-05-12T14:47:59Z (GMT). No. of bitstreams: 1 Cacea Furlan Maggi.pdf: 2357763 bytes, checksum: f687985074f0d2f2b97598158d904ab2 (MD5) Previous issue date: 2006-02-21<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>The objective of the present study compare the models of estimation of evapotranspiration of Reference (ETo) was adjusted of probabilistic Gama, Lognoral, and generalization distribution of extreme value, solver behind of Camargo, on Paraná West and to determine the wet availability index. The dados was obtained in IAPAR (Paraná Inst

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Rutikanga, Justin Ushize. "Parametric deconvolution for a common heteroscedastic case." Thesis, University of the Western Cape, 2016. http://hdl.handle.net/11394/5185.

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>Magister Scientiae - MSc<br>There exists an extensive statistics literature dealing with non-parametric deconvolution, the estimation of the underlying population probability density when sample values are subject to measurement errors. In parametric deconvolution, on the other hand, the data are known to be from a specific distribution. In this case the parameters of the distribution can be estimated by e.g. maximum likelihood. In realistic cases the measurement errors may be heteroscedastic and there may be unknown parameters associated with the distribution. The specific realistic case is

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Books on the topic "Lognormal distributions"

1

Balakrishnan, N., and William W. S. Chen. Handbook of Tables for Order Statistics from Lognormal Distributions with Applications. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5309-0.

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S, Chen William W., ed. Handbook of tables for order statistics from lognormal distributions with applications. Kluwer Academic Publishers, 1999.

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Aitchison, J. The lognormal distribution: With special reference to its uses in economics. University Microfilms International, 1995.

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Clarke, R. Alternative genesis for the lognormal firm size distribution based on stochastic efficiency. Sheffield University, School of Management, 1985.

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Some analytical characteristics of the distribution of land: An exercise in graduation by the lognormal, gamma, and logamma laws. Centre for Development Studies, 1985.

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L, Crow Edwin, and Shimizu Kunio 1948-, eds. Lognormal distributions: Theory and applications. M. Dekker, 1988.

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Crow. Lognormal Distributions (Statistics: a Series of Textbooks and Monogrphs). CRC, 1987.

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Handbook of Tables for Order Statistics from Lognormal Distributions with Applications. Springer, 1999.

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9

Cheng, Russell. Examples of Embedded Distributions. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198505044.003.0006.

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This chapter gives examples of probability distributions that, in their conventional parametrization, contain embedded models. Embeddedness is not intrinsic but depends on the parametrization. The simplest way to reveal and remove embeddedness is to reparametrize and make the log-likelihood, L, expandable as a Maclaurin series of one parameter, α‎: L = L0 + L1α‎ + L2α‎2 + … with L0 the log-likelihood of the embedded model hidden in the original parametrization. The quantity L1, rescaled using the information matrix, is the score statistic which can be used for formally comparing the original a

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Louhibi, M. E. H. Degradation failure mode of transistors: The use of lognormal and exponential distributions in the reliability analysis of semiconductor devices. 1985.

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Book chapters on the topic "Lognormal distributions"

1

Thomopoulos, Nick T. "Lognormal." In Statistical Distributions. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-65112-5_9.

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Thomopoulos, Nick T. "Lognormal." In Probability Distributions. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76042-1_9.

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Thomopoulos, Nick T. "Bivariate Lognormal." In Statistical Distributions. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-65112-5_20.

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Thomopoulos, Nick T. "Bivariate Lognormal." In Probability Distributions. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76042-1_10.

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Moy, Ronald L., Li-Shya Chen, and Lie Jane Kao. "Normal and Lognormal Distributions." In Study Guide for Statistics for Business and Financial Economics. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11997-7_7.

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Balakrishnan, N., and William W. S. Chen. "Lognormal Distributions and Properties." In Handbook of Tables for Order Statistics from Lognormal Distributions with Applications. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5309-0_2.

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Lee, Cheng-Few, John C. Lee, and Alice C. Lee. "The Normal and Lognormal Distributions." In Statistics for Business and Financial Economics. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-5897-5_7.

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Lee, Cheng-Few, John Lee, Jow-Ran Chang, and Tzu Tai. "The Normal and Lognormal Distributions." In Essentials of Excel, Excel VBA, SAS and Minitab for Statistical and Financial Analyses. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-38867-0_7.

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Quicke, Donald L. J., Buntika A. Butcher, and Rachel A. Kruft Welton. "Standard distributions in R." In Practical R for biologists: an introduction. CABI, 2021. http://dx.doi.org/10.1079/9781789245349.0335.

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Abstract There are a number of in-built probability distributions, including uniform, binomial, negative binomial, normal, log-normal, logistic, exponential, Chisquared, Poisson, gamma, Fisher's F, Student's t, Weibull and others. These are used to generate p-values from test statistics, to generate random values from a distribution or to generate expected distributions. This chapter deals with standard distributions in R (a programming language that has a huge range of inbuilt statistical and graphical functions), focusing on the normal, Student's t, lognormal, logistic, Poisson, gamma, and the Chi-squared.

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Quicke, Donald L. J., Buntika A. Butcher, and Rachel A. Kruft Welton. "Standard distributions in R." In Practical R for biologists: an introduction. CABI, 2021. http://dx.doi.org/10.1079/9781789245349.0030.

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Abstract There are a number of in-built probability distributions, including uniform, binomial, negative binomial, normal, log-normal, logistic, exponential, Chisquared, Poisson, gamma, Fisher's F, Student's t, Weibull and others. These are used to generate p-values from test statistics, to generate random values from a distribution or to generate expected distributions. This chapter deals with standard distributions in R (a programming language that has a huge range of inbuilt statistical and graphical functions), focusing on the normal, Student's t, lognormal, logistic, Poisson, gamma, and the Chi-squared.

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Conference papers on the topic "Lognormal distributions"

1

Hurley, Kevin J., Brian McBreen, Fergus Quilligan, Matt Delaney, and Lorraine Hanlon. "Wavelet analysis and lognormal distributions in GRBs." In GAMMA-RAY BURSTS. ASCE, 1998. http://dx.doi.org/10.1063/1.55319.

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Zhao, Lian, and Jiu Ding. "A Strict Approach to Approximating Lognormal Sum Distributions." In 2006 Canadian Conference on Electrical and Computer Engineering. IEEE, 2006. http://dx.doi.org/10.1109/ccece.2006.277813.

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Yamamoto, Ken. "Lognormal Behavior of the Size Distributions of Animation Characters." In Proceedings of the Asia-Pacific Econophysics Conference 2016 — Big Data Analysis and Modeling toward Super Smart Society — (APEC-SSS2016). Journal of the Physical Society of Japan, 2017. http://dx.doi.org/10.7566/jpscp.16.011015.

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Beaulieu, Norman C., and Gan Luan. "Improving Simulation of Lognormal Sum Distributions with Hyperspace Replication." In GLOBECOM 2019 - 2019 IEEE Global Communications Conference. IEEE, 2019. http://dx.doi.org/10.1109/globecom38437.2019.9014029.

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Kuninaka, Hiroto, and Mitsugu Matsushita. "Statistical properties of complex systems -lognormal and related distributions-." In LET'S FACE CHAOS THROUGH NONLINEAR DYNAMICS: 8th International Summer School/Conference. AIP, 2012. http://dx.doi.org/10.1063/1.4745586.

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Obaidullah, Kazi, and Yoshikazu Miyanaga. "Efficient algorithm with WINNER II lognormal distributions for MIMO systems." In 2012 International Symposium on Communications and Information Technologies (ISCIT). IEEE, 2012. http://dx.doi.org/10.1109/iscit.2012.6380889.

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Coble, J., and P. Lees. "219. Sample Sizes for Hypothesis Testing with Leftcensored Lognormal Distributions." In AIHce 1999. AIHA, 1999. http://dx.doi.org/10.3320/1.2763060.

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Smithpreecha, Narudee, Suparat Niwitpong, and Sa-Aat Niwitpong. "Inferences on common ratio means of lognormal distributions: Generalized confidence interval approach." In INTERNATIONAL CONFERENCE ON MATHEMATICS, ENGINEERING AND INDUSTRIAL APPLICATIONS 2016 (ICoMEIA2016): Proceedings of the 2nd International Conference on Mathematics, Engineering and Industrial Applications 2016. Author(s), 2016. http://dx.doi.org/10.1063/1.4965187.

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Avakov, Vladimir A. "Fatigue Reliability Functions in Semilogarithmic Coordinates." In ASME 1991 Design Technical Conferences. American Society of Mechanical Engineers, 1991. http://dx.doi.org/10.1115/detc1991-0009.

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Abstract In the previous publication [2], the transformation between fatigue life and strength distribution was established using double-logarithmic coordinate system (lnN-lnS). Here, a similar transformation is established using a semi logarithmic (lnN-S) coordinate system. With the aid of the developed orthogonal relations, lognormal, Weibull and three-parameter logweibull life distributions have been transformed into normal, asymptotic type 1 of smallest value, and three-parameter Weibull strength distributions, respectively. This procedure may be applied to other types of fatigue life dist

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Veselovsky, I. S., A. V. Dmitriev, A. V. Suvorova, et al. "Lognormal, Normal and Other Distributions Produced by Algebraic Operations in the Solar Wind." In TWELFTH INTERNATIONAL SOLAR WIND CONFERENCE. AIP, 2010. http://dx.doi.org/10.1063/1.3395824.

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Reports on the topic "Lognormal distributions"

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Dudel, H. P., and S. H. Lehnigk. Calculation of Quantiles for Hyper-Gamma, Generalized Gumbel, and Lognormal Distributions. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada211521.

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Lee, P. J. Oil and gas pool size probability distributions - J-shaped, lognormal, or Pareto? Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1993. http://dx.doi.org/10.4095/184100.

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Verrill, Steve. Confidence bounds for normal and lognormal distribution coefficients of variation. U.S. Department of Agriculture, Forest Service, Forest Products Laboratory, 2003. http://dx.doi.org/10.2737/fpl-rp-609.

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Ortiz, M. Analytical Methods of Approximating the Fisher Information Matrix for the Lognormal Distribution. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1557955.

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