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Log-normal distribution
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51	Hypothesis Testing and Interval Estimation of a Single Lognormal Mean Let y1 , ..., yn be a sample of observations from a lognormal distribution with parameters µ and σ 2 . Let xi = ln(yi ), i = 1, 2, ...., n. The samp Add to Reading List Source URL: www.ucs.louisiana.edu Language: English - Date: 2003-01-28 12:20:19 Normal distribution Log-normal distribution Probability theory Variance Regression analysis Exponentials Statistics Probability and statistics Mathematical analysis
52	Exposure Assessment: Tolerance Limits, Confidence Intervals and Power Calculation based on Samples with Multiple Detection Limits K. Krishnamoorthy1 , Thomas Mathew2 and Zhao Xu1 1 Add to Reading List Source URL: www.ucs.louisiana.edu Language: English - Date: 2013-01-11 13:09:21 Summary statistics Measure theory Data analysis Log-normal distribution Maximum likelihood Support Standard deviation Symbol Confidence interval Statistics Normal distribution Statistical inference
53	§1 1. STATLIB INTRODUCTION Add to Reading List Source URL: www.fourmilab.ch Language: English - Date: 2004-08-05 10:25:25 Skewness Kurtosis Standard deviation Variance Chi-squared distribution Log-normal distribution Multivariate normal distribution Statistics Normal distribution Data analysis
54 $Georges Matheron / Mathematical morphology / Data analysis / Fractals / Kriging / Log-normal distribution / Multifractal system / Autocorrelation / Normal distribution / Statistics / Geostatistics / Probability theory$	Self-similarity and multiplicative cascade models by F. Agterberg* In his 1978 monograph ‘Lognormal-de Wijsian Geostatistics for Ore Evaluation’, Professor Danie Krige emphasized the scale-independence Add to Reading List Source URL: www.saimm.co.za Language: English - Date: 2015-02-17 06:36:25 Georges Matheron Mathematical morphology Data analysis Fractals Kriging Log-normal distribution Multifractal system Autocorrelation Normal distribution Statistics Geostatistics Probability theory
55	Annals of Occupational Hygiene Advance Access published May 22, 2007 # Ann. Occup. Hyg., pp. 1–10 The AuthorPublished by Oxford University Press on behalf of the British Occupational Hygiene Society Add to Reading List Source URL: www.ucs.louisiana.edu Language: English - Date: 2007-05-22 10:36:07 Probability theory Data analysis Statistical inference Measurement Confidence interval Chi-squared distribution Random variable Log-normal distribution Cumulative distribution function Statistics Probability and statistics Normal distribution
56	Microsoft Word - Actuarial Review for Price Volatility Factor Methodology_response to review Add to Reading List Source URL: www.rma.usda.gov Language: English - Date: 2015-03-25 13:50:22 Mathematical sciences Volatility Implied volatility Forward volatility Black–Scholes Financial risk Standard deviation Copula Log-normal distribution Mathematical finance Statistics Financial economics
57	Power Calculation for Testing the Mean of a Lognormal Distribution Let y1 , ..., yn be a sample of observations from a lognormal distribution with parameters µ and σ 2 . Let xi = ln(yi ), i = 1, 2, ...., n. Note that e Add to Reading List Source URL: www.ucs.louisiana.edu Language: English - Date: 2003-01-28 12:42:27 Normal distribution Statistics Probability and statistics Log-normal distribution
58	Hypothesis Testing and Interval Estimation for the Difference Between Two Lognormal Means Let x1i , i = 1, 2, ...., n1 , and x2i , i = 1, 2, ...., n2 , denote random samples from the lognormal(µ1 , σ12 ) and lognormal( Add to Reading List Source URL: www.ucs.louisiana.edu Language: English - Date: 2003-01-29 14:15:26 Psychometrics Statistical models Probability and statistics Log-normal distribution Normal distribution Statistics
59	Title stata.com mecloglog — Multilevel mixed-effects complementary log-log regression Description Options Add to Reading List Source URL: www.stata.com Language: English - Date: 2015-04-07 21:48:24 Statistical models Econometrics Statistical methods Mixed model Linear regression Multilevel model Normal distribution Generalized linear mixed model Random effects model Statistics Regression analysis Analysis of variance
60	LiTGen, a lightweight traffic generator: application to P2P and mail wireless traffic Chlo´e Rolland∗ , Julien Ridoux† , and Bruno Baynat∗ ∗ Universit´e Pierre et Marie Curie – Paris VI, LIP6/CNRS, UMR 7606, Add to Reading List Source URL: www.synclab.org Language: English - Date: 2015-02-14 01:17:24 File sharing networks Teletraffic Peer-to-peer Traffic generation model Pareto distribution HTTP Variance Log-normal distribution Trace Statistics Concurrent computing Distributed computing

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