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Journal articles on the topic 'Variability Statistic'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Miseker, G. Birega* Birhanu H. Abrha Zinabu M. Gebru. "TIME SERIES TREND ANALYSIS OF PRECIPITATION AND TEMPERATURE: THE CASE OF ARBA MINCH TOWN, SOUTHERN ETHIOPIA." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 2 (2017): 335–42. https://doi.org/10.5281/zenodo.290300.

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Long-term climate averages changes are the result of significant annual climate variability. This study aimed at analyzing trends and variability of Temperature and precipitation of Arba Minch Town, in Southern Ethiopia. Temperature and precipitation data were collected from Arba Minch meteorology station from 1987-2014 and 1982-2014, respectively. Summary descriptive statistics, regression analysis and Mann Kendall trend test method were used to analyze the long-term data. Regression analysis for the trends and Mann-Kendall rank statistic test were used for the examination of their significan

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Blodgett, Robert J. "Averaging the Closest Two out of Three Observations." Journal of AOAC INTERNATIONAL 83, no. 3 (2000): 661–64. http://dx.doi.org/10.1093/jaoac/83.3.661.

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Abstract The average of 3 observations is the standard method of estimating the location of their distribution. The average of the closest 2 out of 3 observations, although often used, has more variability than the average of all 3 observations for a standard normal distribution. One statistic uses a threshold to decide when to use the average of all 3 observations rather than the closest 2. With the standard normal, this statistic still has more variability than the average of all 3 observations.

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Yürekli, Kadri, Müberra Erdoğan, and Ömer Faruk Karaca. "Use of Different Statistic Approaches on Variability in Hydrologic Variables." Turkish Journal of Agriculture - Food Science and Technology 7, sp1 (2019): 1. http://dx.doi.org/10.24925/turjaf.v7isp1.1-5.2656.

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The unnatural change in the globe under influence of devastating global warming has been quashing the overall functioning of ecosystem since industrial revolution. Thus, the human-induced disaster caused by proportional increase of greenhouse gases in the atmosphere has affected the normal functioning of hydrologic cycle. Under the undesirable condition, the amount of hydrologic variables began to diverge over time. Hydrologic variable should be homogeneous for the reliability of hydraulic structure while predicting necessary design criteria for its construction. Therefore, the test of whether

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Li, Xiao Yong. "Statistic Analyses of Correlation Distances of Soil Parameters." Key Engineering Materials 480-481 (June 2011): 1412–17. http://dx.doi.org/10.4028/www.scientific.net/kem.480-481.1412.

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The correlation distance is one of the important parameters for the application of random field theory to reliability analyses. Soil spatial variability is related to soil point variability with the reduction factor of variance in random field theory, and the reduction factor of variance depends on both soil auto-correlation distance and spatial area. The sampling space effect on auto-correlation distance is studied. The vertical and horizontal correlation distances of typical stratum are analyzed in statistics based on a large amount of investigation data and the representative values of corr

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Koch, Dean. "A Comparison of Variability in Two Cassin’s Auklet (Ptychoramphus aleuticus) Colonies Using Spline-based Nonparametric Models." Arbutus Review 4, no. 1 (2013): 63–85. http://dx.doi.org/10.18357/tar41201312702.

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While variability in the reproductive performance of a population over time is a familiar and useful concept to ecologists, it can be difficult to capture mathematically. Commonly used ecological variability statistics, such as the standard deviation of the logarithm and coefficient of variation, discard the time-ordering of observations and consider only the unordered response variable values. We used a relatively new methodology, the cubic regression spline (a flexible curve fitted to a scatterplot of data), both to illustrate trends in reproductive performance over time and to explore the u

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Leal, Alexis D., Cristine Allmer, Matthew J. Maurer, et al. "Variability Of Performance Status Assessment Between Patients With Hematologic Malignancies and Their Physicians." Blood 122, no. 21 (2013): 1703. http://dx.doi.org/10.1182/blood.v122.21.1703.1703.

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Abstract Background Performance status (PS) is a measurement of a patient’s functional capabilities and has been validated as a prognostic indicator in patients with cancer. This study was conducted to compare patient and physician-rated Eastern Cooperative Oncology Group (ECOG) PS to determine the incidence of inter-observer variability and identify determinants of PS disagreement among a cohort of patients with hematologic malignancy. Methods Newly diagnosed patients with leukemia and lymphoma were prospectively enrolled in the University of Iowa/Mayo Clinic SPORE Molecular Epidemiology Reso

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Drzaic, Ivana, Ino Curik, Dinko Novosel, and Vlatka Cubric-Curik. "Maternal variability of Croatian Spotted goat (Capra hircus)." Czech Journal of Animal Science 64, No. 6 (2019): 248–54. http://dx.doi.org/10.17221/240/2018-cjas.

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Abstract: This study provides the first characterization of maternal ancestry and mitochondrial DNA (mtDNA) diversity in the Croatian Spotted goat (CSG), the most important autochthonous goat breed in Croatia. CSG (n = 25) were randomly sampled from seven herds and a 660-bp fragment from the mtDNA D-loop region was sequenced. Those sequences were compared with 122 corresponding GenBank sequences from goat populations in Albania, Austria, Egypt, Greece, Italy, Romania and Switzerland. CSG showed a great polymorphism (only three out of 17 haplotypes were shared) with high a haplotype (Hd = 0.967

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Zhan, Xiang. "Relationship Between MiRKAT and Coefficient of Determination in Similarity Matrix Regression." Processes 7, no. 2 (2019): 79. http://dx.doi.org/10.3390/pr7020079.

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The Microbiome Regression-based Kernel Association Test (MiRKAT) is widely used in testing for the association between microbiome compositions and an outcome of interest. The MiRKAT statistic is derived as a variance-component score test in a kernel machine regression-based generalized linear mixed model. In this brief report, we show that the MiRKAT statistic is proportional to the R 2 (coefficient of determination) statistic in a similarity matrix regression, which characterizes the fraction of variability in outcome similarity, explained by microbiome similarity (up to a constant).

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Deweese, Mary, Dorothy Brown, Kei Hayashi, et al. "Observer Variability of Arthroscopic Cartilage Grading Using the Modified Outerbridge Classification System in the Dog." Veterinary and Comparative Orthopaedics and Traumatology 32, no. 02 (2019): 126–32. http://dx.doi.org/10.1055/s-0039-1678550.

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Objective The aim of this study was to determine the inter- and intra-observer variability of the modified Outerbridge cartilage classification system in canine joints evaluated via arthroscopy. Materials and Methods Fifty arthroscopic videos of canine cartilage were scored by six observers, where three of the observers had significant arthroscopic experience and three had minimal to no experience. The kappa (κ) statistic was used to evaluate overall and individual score inter-observer variability, as well as experience variability. The weighted κ statistic was used to evaluate the overall int

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Hwihanus, Hwihanus, Tri Ratnawati, and Indrawati Yuhertiana. "Analisis Pengaruh Fundamental Makro dan Fundamental Mikro Terhadap Struktur Kepemilikan, Kinerja Keuangan, dan Nilai Perusahaan pada Badan Usaha Milik Negara yang Terdaftar di Bursa Efek Indonesia." Business and Finance Journal 4, no. 1 (2019): 65–72. http://dx.doi.org/10.33086/bfj.v4i1.1097.

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   This study aims to examine and analyze the relationship between the variability of mu- tuality micro fundamental, macro fundamentals of ownership structure, financial performance, and the value of companies in State-Owned Enterprises listed on the Indonesia Stock Exchange. Re- search population at 20 State-Owned Enterprises listed on Indonesia Stock Exchange. This research method uses purposive sampling with 12 companies in 2010–2015. Data analysis of techniques in this study using Partial Least Square consists of Inner model, Outers model and Weight relation. The test res

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Curran-Everett, Douglas. "Explorations in statistics: the bootstrap." Advances in Physiology Education 33, no. 4 (2009): 286–92. http://dx.doi.org/10.1152/advan.00062.2009.

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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 fourth installment of Explorations in Statistics explores the bootstrap. The bootstrap gives us an empirical approach to estimate the theoretical variability among possible values of a sample statistic such as the sample mean. The appeal of the bootstrap is that we can use it to make an inference about some experimental result when the statistical theory is uncertain or even unknown. We can also use the bootstrap to assess how well the statistical theory holds: that

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Petcharat, K. "Nonparametric Double EWMA Control Charts based on Mood Statistic for Process Variability." Journal of Physics: Conference Series 2014, no. 1 (2021): 012008. http://dx.doi.org/10.1088/1742-6596/2014/1/012008.

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Danzer, Moritz Fabian, Jannik Feld, Andreas Faldum, and Rene Schmidt. "Reference curve sampling variability in one–sample log–rank tests." PLOS ONE 17, no. 7 (2022): e0271094. http://dx.doi.org/10.1371/journal.pone.0271094.

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The one–sample log–rank test is the method of choice for single–arm Phase II trials with time–to–event endpoint. It allows to compare the survival of patients to a reference survival curve that typically represents the expected survival under standard of care. The one–sample log–rank test, however, assumes that the reference survival curve is known. This ignores that the reference curve is commonly estimated from historic data and thus prone to sampling error. Ignoring sampling variability of the reference curve results in type I error rate inflation. We study this inflation in type I error ra

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Snell, Kym IE, Joie Ensor, Thomas PA Debray, Karel GM Moons, and Richard D. Riley. "Meta-analysis of prediction model performance across multiple studies: Which scale helps ensure between-study normality for the C-statistic and calibration measures?" Statistical Methods in Medical Research 27, no. 11 (2017): 3505–22. http://dx.doi.org/10.1177/0962280217705678.

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If individual participant data are available from multiple studies or clusters, then a prediction model can be externally validated multiple times. This allows the model’s discrimination and calibration performance to be examined across different settings. Random-effects meta-analysis can then be used to quantify overall (average) performance and heterogeneity in performance. This typically assumes a normal distribution of ‘true’ performance across studies. We conducted a simulation study to examine this normality assumption for various performance measures relating to a logistic regression pr

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Maina, Stephen Ndirangu, Dr Tabitha Nasieku, and Dr Julius Miroga Bichanga. "Earnings Variability on Share Price Annualized Volatility among Quoted Non-Financial Companies at Nairobi Securities Exchange." International Journal of Research and Innovation in Social Science IX, no. V (2025): 3178–88. https://doi.org/10.47772/ijriss.2025.905000247.

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The study examined the effect of earnings variability on share price annualized volatility among non-financial companies quoted at Nairobi Securities Exchange. Earnings variability is a situation where there is a fluctuating pattern of a company’s net income or earnings per share (EPS) during a given period of time. The study was guided by pragmatic research philosophy and adopted a quantitative research design to evaluate earnings variability and share price annualized volatility among quoted non-financial firms at Nairobi securities exchange. A census study of 39 non -financial companies quo

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Lee, Daeyoung, and Charles F. Gammie. "Measures of Variance on Windowed Gaussian Processes." Research Notes of the AAS 6, no. 12 (2022): 279. http://dx.doi.org/10.3847/2515-5172/acade5.

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Abstract The variance and fractional variance on a fixed time window (variously known as “rms percent” or “modulation index”) are commonly used to characterize the variability of astronomical sources. We summarize properties of this statistic for a Gaussian process.

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Shompa, Zohora Azmin, Aznan Zuhid Saidin, Husnayati Hussin, Muhd Rosydi Muhammad, and Elistina Abu Bakar. "A DESCRIPTIVE ANALYSIS OF VALUES AND MAQASID AL-SHARIâ€˜AH IN SOCIAL MEDIA USE AMONG STUDENTS OF IIUM." Journal of Information Systems and Digital Technologies 1, no. 1 (2019): 1–16. http://dx.doi.org/10.31436/jisdt.v1i1.87.

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Abstractâ€” the use of social media has raised concern on usersâ€™ ability to behave ethically in cyberspace. Handling various issues in social media lies in the person of using social media properly from the Islamic perspectives. This study consisted of a descriptive statistic that quantitatively describes the main features of quantitative data. A total of 250 respondents are shown as a sample and apply some measures that can describe a data set from values and the behavior of Maqasid Al-Shariâ€˜Ah perspective in social media use to protect deen, life, intellect, lineage, privacy and property

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18

Seshia, Shashi S., Jerome Y. Yager, Bruce Johnston, and Philip Haese. "Inter-Observer Agreement in Assessing Comatose Children." Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques 18, no. 4 (1991): 472–75. http://dx.doi.org/10.1017/s0317167100032182.

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ABSTRACT:Inter-observer agreement was evaluated for twelve items used in the neurological assessment of comatose children. Data were obtained prospectively on fifteen patients examined independently by two observers in a double-blind fashion. Observer variability was measured by using the Disagreement Rate and Kappa statistic. The Disagreement Rate ranged from 0.01 to 0.12 for all items. Values for Kappa statistic were generally in accordance with those for Disagreement Rate. The data suggest fair to almost perfect inter-observer agreement for the items used to assess comatose children in this

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Holton, Lynne Louise, Ethel Marian Scott, Andrea Mary Nolan, Jacqueline Reid, Elizabeth Welsh, and Derek Flaherty. "Comparison of three methods used for assessment of pain in dogs." Journal of the American Veterinary Medical Association 212, no. 1 (1998): 61–66. http://dx.doi.org/10.2460/javma.1998.212.01.61.

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Objective To investigate the reliability of 3 scales used for assessment of pain in dogs. Design Prospective study. Animals 50 dogs that had surgery. Procedure Dogs were allocated into 3 groups (group 1, 25 dogs assessed 1 hour after the end of surgery; group 2, 41 dogs assessed between 21 and 27 hours after the end of surgery; group 3, 16 dogs assessed on the day of surgery and on the subsequent day). Each dog was scored for pain 4 times by 3 (groups 1 and 3) or 4 (group 2) veterinarians, using all 3 scales (ie, simple descriptive, numerical rating, and visual analogue) during each scoring pe

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de Torrente, Laurence, Samuel Zimmerman, Deanne Taylor, Yu Hasegawa, Christine A. Wells, and Jessica C. Mar. "pathVar:a new method for pathway-based interpretation of gene expression variability." PeerJ 5 (May 23, 2017): e3334. http://dx.doi.org/10.7717/peerj.3334.

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Identifying the pathways that control a cellular phenotype is the first step to building a mechanistic model. Recent examples in developmental biology, cancer genomics, and neurological disease have demonstrated how changes in the variability of gene expression can highlight important genes that are under different degrees of regulatory control. Simple statistical tests exist to identify differentially-variable genes; however, methods for investigating how changes in gene expression variability in the context of pathways and gene sets are under-explored. Here we presentpathVar,a new method tha

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Mauget, Steven A., Eugene C. Cordero, and Patrick T. Brown. "Evaluating Modeled Intra- to Multidecadal Climate Variability Using Running Mann–Whitney Z Statistics." Journal of Climate 25, no. 5 (2012): 1570–86. http://dx.doi.org/10.1175/jcli-d-11-00211.1.

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An analysis method previously used to detect observed intra- to multidecadal (IMD) climate regimes was adapted to compare observed and modeled IMD climate variations. Pending the availability of the more appropriate phase 5 Coupled Model Intercomparison Project (CMIP-5) simulations, the method is demonstrated using CMIP-3 model simulations. Although the CMIP-3 experimental design will almost certainly prevent these model runs from reproducing features of historical IMD climate variability, these simulations allow for the demonstration of the method and illustrate how the models and observation

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Curran-Everett, Douglas. "Explorations in statistics: the log transformation." Advances in Physiology Education 42, no. 2 (2018): 343–47. http://dx.doi.org/10.1152/advan.00018.2018.

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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 thirteenth installment of Explorations in Statistics explores the log transformation, an established technique that rescales the actual observations from an experiment so that the assumptions of some statistical analysis are better met. A general assumption in statistics is that the variability of some response Y is homogeneous across groups or across some predictor variable X. If the variability—the standard deviation—varies in rough proportion to the mean value of

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Ilmawan, Muhammad. "Navigating heterogeneity in meta-analysis: methods for identification and management." Deka in Medicine 1, no. 2 (2024): e269. http://dx.doi.org/10.69863/dim.2024.e269.

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Although meta-analysis is a powerful way to synthesize research findings from multiple studies, the problem of heterogeneity usually arises due to variation in study outcomes. Differences between studies regarding heterogeneity in results can arise from populations, interventions, outcome measures, and methodologies both within and between the studies. This article aims to provide an overview of the methods for identifying and dealing with heterogeneity in meta-analyses to ensure accurate and reliable conclusions. The article aims to describe the application of several statistical methods for

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Christy, U. Buquing. "The Most Essential Learning Competencies in Statistics of the Grade 7 Learners." INTERNATIONAL JOURNAL OF MULTIDISCIPLINARY RESEARCH AND ANALYSIS, no. 05 (May 28, 2024): 2305–21. https://doi.org/10.5281/zenodo.11365450.

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This study aimed to formulate valid supplementary statistic learning materials for Grade 7 learners to improve their attainment of the most essential learning competencies in statistics. It examined the demographic profile of the respondents, level of attainment of the MELCs in statistics, mastered and least mastered competencies, and significant relationship between their profile and their attainment of the MELCs in statistics. Results revealed that the level of attainment of the MELCs in statistics for Grade 7 learners was Satisfactory. They showed less mastery on competencies involving posi

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Wang, Fei, and Jun Niu. "The Implication of Climate Signal for Precipitation in the Heihe River Basin, Northwest China." Advances in Meteorology 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/1078617.

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This paper studies the stochastic dynamic variability of precipitation, for the upper, middle, and lower reaches of the Heihe River basin in Northwest China, by employing Mann-Kendall statistic, Pettitt test, and wavelet transform methods. The possible associations with three prominent climatic patterns, El Niño-Southern Oscillation (ENSO), Artic Oscillation (AO), and Indian Ocean Dipole (IOD), are examined by using multiscale wavelet coherence method. No significant trend is identified for the interannual precipitation variability. However, about 2-year significant variability is detected for

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Elias, B., L. Hart, and P. Martens. ""Just get on with it." Linking data systems to report on infant mortality and the First Nations population in Manitoba (Canada)." Statistical Journal of the IAOS: Journal of the International Association for Official Statistics 30, no. 3 (2014): 285–95. https://doi.org/10.3233/sji-140827.

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The routine reporting of actionable statistics to improve system performance and prevent premature mortality has been promoted for decades. A key statistic produced nationally and globally is infant mortality. State governments define, collect and report vital events. In Canada, vital statistics is a provincial responsibility. The provinces, however, do not uniformly collect vital events for First Nations who are under Federal fiduciary responsibility or uniformly maintain a registration group field for disaggregation purposes. In 2008, Canada's Public Health Agency conceded that a lack of a F

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Munawar, Faizan, John Donovan, Etain Kiely, and Konrad Mulrennan. "Temporal Analysis of Glycaemic Variability Metrics." International Journal of Integrated Care 25 (April 9, 2025): 365. https://doi.org/10.5334/ijic.icic24451.

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Introduction/Background: Glycaemic Variability (GV) is a widely used measure in managing type 1 diabetes mellitus, describing the fluctuations in blood glucose (BG) levels over time. High GV is linked to chronic complications like micro- and macrovascular diseases. Factors contributing to GV include both external factors (diet, activity, medications) and internal factors (glucose absorption, insulin sensitivity). High GV has also been linked to an increased risk of hypoglycaemia and reduced quality of life. Therefore, minimising GV is an important goal in diabetes management. GV can be measure

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Dehling, H., R. Fried, and M. Wendler. "A robust method for shift detection in time series." Biometrika 107, no. 3 (2020): 647–60. http://dx.doi.org/10.1093/biomet/asaa004.

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Summary We present a robust and nonparametric test for the presence of a changepoint in a time series, based on the two-sample Hodges–Lehmann estimator. We develop new limit theory for a class of statistics based on two-sample U-quantile processes in the case of short-range dependent observations. Using this theory, we derive the asymptotic distribution of our test statistic under the null hypothesis of a constant level. The proposed test shows better overall performance under normal, heavy-tailed and skewed distributions than several other modifications of the popular cumulative sums test bas

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Palumbo, Michael L., Eric B. Ford, Elizabeth B. Gonzalez, Jason T. Wright, Khaled Al Moulla, and Rolf Schlichenmaier. "GRASS. II. Simulations of Potential Granulation Noise Mitigation Methods." Astronomical Journal 168, no. 1 (2024): 46. http://dx.doi.org/10.3847/1538-3881/ad4c6d.

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Abstract We present an updated version of the GRanulation And Spectrum Simulator (GRASS) which now uses an expanded library of 22 solar lines to empirically model time-resolved spectral variations arising from solar granulation. We show that our synthesis model accurately reproduces disk-integrated solar line profiles and bisectors, and we quantify the intrinsic granulation-driven radial-velocity (RV) variability for each of the 22 lines studied. We show that summary statistics of bisector shape (e.g., bisector inverse slope) are strongly correlated with the measured anomalous, variability-dri

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Vynnykov, Yu L., and M. O. Kharchenko. "STUDY OF MECHANICAL PROPERTIES OF COMPACTED MATERIALS GROUND PADS AS RANDOM VARIABLES." Science and Transport Progress, no. 32 (May 25, 2010): 26–30. http://dx.doi.org/10.15802/stp2010/13164.

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The statistic analysis of variability values of mechanical characteristics of compacted soils is done. Also the laws of their distribution are determined. As a result, it is determined that for the deformation modulus, unit cohesion and internal friction angle the logarithmic normal law of distribution is more correct, while for penetration resistance – exponential law.

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Storella, R. J., R. B. Kandell, M. Polansky, and J. C. Harrow. "APPROXIMATE ENTROPY, A NONLINEAR STATISTIC, DETECTS EFFECTS OF OPIOID ANESTHESIA ON HEART RATE VARIABILITY." Anesthesiology 81, SUPPLEMENT (1994): A151. http://dx.doi.org/10.1097/00000542-199409001-00150.

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Palazón, L., and A. Navas. "Variability in source sediment contributions by applying different statistic test for a Pyrenean catchment." Journal of Environmental Management 194 (June 2017): 42–53. http://dx.doi.org/10.1016/j.jenvman.2016.07.058.

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McGinn, T. "Tips for learners of evidence-based medicine: 3. Measures of observer variability (kappa statistic)." Canadian Medical Association Journal 171, no. 11 (2004): 1369–73. http://dx.doi.org/10.1503/cmaj.1031981.

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Bock, Olivier, and Ana C. Parracho. "Consistency and representativeness of integrated water vapour from ground-based GPS observations and ERA-Interim reanalysis." Atmospheric Chemistry and Physics 19, no. 14 (2019): 9453–68. http://dx.doi.org/10.5194/acp-19-9453-2019.

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Abstract. This study examines the consistency and representativeness differences of daily integrated water vapour (IWV) data from ERA-Interim reanalysis and GPS observations at 120 global sites over a 16-year period (1995–2010). Various comparison statistics are analysed as a function of geographic, topographic, and climatic features. A small (±1 kg m−2) bias is found in the reanalysis across latitudes (moist in northern and southern midlatitudes and dry in the tropics). The standard deviation of daily IWV differences is generally below 2 kg m−2 but peaks in the northern and southern storm-tra

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Raab, Stephen S., Frederick A. Meier, Richard J. Zarbo, et al. "The “Big Dog” Effect: Variability Assessing the Causes of Error in Diagnoses of Patients With Lung Cancer." Journal of Clinical Oncology 24, no. 18 (2006): 2808–14. http://dx.doi.org/10.1200/jco.2005.04.3661.

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Purpose The frequency of diagnostic error in patients who have a lung mass and a pathology specimen is as high as 15%. This study examined the role of inter-pathologist agreement in identifying the cause of error in these patients. Methods Pathologists from six institutions reviewed the slides of 40 patients who had a pulmonary specimen false-negative diagnosis. The initial assessment of error cause arose from cytologic-histologic correlation slide review of discrepant diagnostic samples in patients who had both a bronchial brushing cytologic and surgical specimen. The cause of error was attri

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Veldhuis, J. D., M. L. Johnson, O. L. Veldhuis, M. Straume, and S. M. Pincus. "Impact of pulsatility on the ensemble orderliness (approximate entropy) of neurohormone secretion." American Journal of Physiology-Regulatory, Integrative and Comparative Physiology 281, no. 6 (2001): R1975—R1985. http://dx.doi.org/10.1152/ajpregu.2001.281.6.r1975.

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Regular patterns of neurohormone secretion are driven by underlying pulsatile and subordinate (feedback sensitive) dynamics. Measures of time-series orderliness, e.g., the approximate entropy (ApEn) statistic (Pincus SM. Proc Natl Acad Sci 88: 2297–2301, 1991), vividly discriminate pathological and physiological patterns of hormone release. To investigate how specific pulsatility features impact regularity estimates, we have examined the sensitivity of the ApEn metric to systematic variations in the frequency, amplitude, and half-life of simulated neurohormone pulse trains (Veldhuis JD, Carlso

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Mohammadi, Reza, Reza Haghparast, Ahmed Amri, and Salvatore Ceccarelli. "Yield stability of rainfed durum wheat and GGE biplot analysis of multi-environment trials." Crop and Pasture Science 61, no. 1 (2010): 92. http://dx.doi.org/10.1071/cp09151.

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Integrating yield and stability of genotypes tested in unpredictable environments is a common breeding objective. The main goals of this research were to identify superior durum wheat genotypes for the rainfed areas of Iran and to determine the existence of different mega-environments in the growing areas of Iran by testing 20 genotypes in 4 locations for 3 years via GGE (genotype + genotype-by-environment) biplot analysis. Stability of performance was assessed by the Kang’s yield-stability statistic (YSi) and 2 new methods of yield-regression statistic (Ybi) and yield-distance statistic (Ydi)

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Erps, Ryan C., and Kimihiro Noguchi. "A Robust Test for Checking the Homogeneity of Variability Measures and Its Application to the Analysis of Implicit Attitudes." Journal of Educational and Behavioral Statistics 45, no. 4 (2019): 403–25. http://dx.doi.org/10.3102/1076998619883874.

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A new two-sample test for comparing variability measures is proposed. To make the test robust and powerful, a new modified structural zero removal method is applied to the Brown–Forsythe transformation. The t-test-based statistic allows results to be expressed as the ratio of mean absolute deviations from median. Extensive simulation study demonstrates that the proposed test is robust to small or unequal sample sizes across many distributions. Moreover, careful exploratory analysis provides a new method for calculating the implicit association test scores for reaction time data with multiplica

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Gillespie, John H. "VARIABILITY OF EVOLUTIONARY RATES OF DNA." Genetics 113, no. 4 (1986): 1077–91. http://dx.doi.org/10.1093/genetics/113.4.1077.

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ABSTRACT A statistical analysis of DNA sequences from four nuclear loci and five mitochondrial loci from different orders of mammals is described. A major aim of the study is to describe the variation in the rate of molecular evolution of proteins and DNA. A measure of rate variability is the statistic R, the ratio of the variance in the number of substitutions to the mean number. For proteins, R is found to be in the range 0.16 &lt; R &lt; 35.55, thus extending in both directions the values seen in previous studies. An analysis of codons shows that there is a highly significant excess

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Ambaum, Maarten H. P. "Unimodality of Wave Amplitude in the Northern Hemisphere." Journal of the Atmospheric Sciences 65, no. 3 (2008): 1077–86. http://dx.doi.org/10.1175/2007jas2298.1.

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Abstract A novel statistic for local wave amplitude of the 500-hPa geopotential height field is introduced. The statistic uses a Hilbert transform to define a longitudinal wave envelope and dynamical latitude weighting to define the latitudes of interest. Here it is used to detect the existence, or otherwise, of multimodality in its distribution function. The empirical distribution function for the 1960–2000 period is close to a Weibull distribution with shape parameters between 2 and 3. There is substantial interdecadal variability but no apparent local multimodality or bimodality. The zonall

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Mills, Terence C. "Is There Convergence in National Alcohol Consumption Patterns? Evidence from a Compositional Time Series Approach." Journal of Wine Economics 13, no. 1 (2018): 92–98. http://dx.doi.org/10.1017/jwe.2018.2.

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AbstractHolmes and Anderson (2017a) introduce two extensive data sets on world alcohol consumption and expenditure and with them investigate, among other things, the possible convergence of national alcohol consumption patterns using wine, beer, and spirit shares. Such share data define a composition, on which conventional statistical analysis using covariances and correlations is invalid. This note reanalyses the data using techniques appropriate for a composition and introduces a statistic that can validly track the variation in national shares around the global mean through time. This varia

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Hill, Theodore P., and Rosalind Arden. "Recurring Errors in Studies of Gender Differences in Variability." Stats 6, no. 2 (2023): 519–25. http://dx.doi.org/10.3390/stats6020033.

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The past quarter century has seen a resurgence of research on the controversial topic of gender differences in variability, in part because of its potential implications for the issue of under- and over-representation of various subpopulations of our society, with respect to different traits. Unfortunately, several basic statistical, inferential, and logical errors are being propagated in studies on this highly publicized topic. These errors include conflicting interpretations of the numerical significance of actual variance ratio values; a mistaken claim about variance ratios in mixtures of d

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Cargnelutti Filho, Alberto, Marcos Toebe, Bruna Mendonça Alves, Jéssica Andiara Kleinpaul, and Ismael Mario Marcio Neu. "Number of replicates and experimental precision statistics in corn." Pesquisa Agropecuária Brasileira 53, no. 11 (2018): 1213–21. http://dx.doi.org/10.1590/s0100-204x2018001100003.

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Abstract: The objective of this work was to evaluate the influence of the number of replicates on experimental precision in corn (Zea mays). Data on the grain yield of 15 corn cultivars, evaluated in a randomized complete block design, with nine replicates (r = 9), were used. From the experiment with nine replicates, further experiments were conducted with combinations of 2, 3, ..., r-1 replicates. The analysis of variance was carried out for each experiment. Experimental precision statistics and central tendency and variability measures were calculated, dispersion diagrams were prepared, and

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Boretti, Alberto, and Stefania Castelletto. "Low-Frequency Wind Energy Variability in the Continental Contiguous United States." Energies 13, no. 1 (2019): 144. http://dx.doi.org/10.3390/en13010144.

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Wind energy is characterized by exceptionally large power fluctuations at the single energy facility level, that remain significant also considering the average of the many different energy facilities connected to the same grid. A high-frequency statistic, 1 min or less sampling time, is needed to understand this variability and design the energy storage facilities needed to replace the combustion fuel power plants now used to stabilize a grid. While high-frequency data are unavailable for the United States, low-frequency data, collected monthly, allow assessing the month-to-month and year-to-

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Rose, Michael B., and Eric G. Hintz. "A Search for Low-Amplitude Variability in Six Open Clusters Using the Robust Median Statistic." Astronomical Journal 134, no. 5 (2007): 2067–78. http://dx.doi.org/10.1086/522963.

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Tayco, Ryan O., and Rosemarie C. Español. "Vulnerability of Asian countries to climate variability hazards A fractal analysis." University of the Visayas - Journal of Research 8, no. 1 (2014): 91–98. https://doi.org/10.5281/zenodo.1964028.

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This study demonstrates the use of techniques associated to a newly-developed fractal statistics in the analysis of roughness hazards by countries as this induces a consequent ruggedness in the vulnerability of the different Asian countries. Results revealed that the roughness correlation between hazards and vulnerability is Rλ = 0.9996, that is, around 99.96%. This finding implies that hazards induce a considerable roughness in the vulnerability of various Asian countries. Specifically, countries that are more expose to hazards are also the countries that are vulnerable. These cou

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Dias, Arthur Duarte, Moisés Antônio da Costa Lemos, André Luis Brasil Cavalcante, and Renato Pinto da Cunha. "Approach to Calculating the Failure Probability of Bearing Capacity of Augercast Pilling Foundations Using the FOSM Method." International Journal of Geology and Earth Sciences 5, no. 4 (2019): 50–57. http://dx.doi.org/10.18178/ijges.5.4.50-57.

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The predicting difficulty of bearing capacity of foundations becomes a major problem due to the constructions with rigorous construction processes. Hence, the soil spatial variability is often ignored in the calculations of bearing capacity of deep foundations. Consequently, the use of statistic associated with bearing capacity calculations has added important failure probability information of piles foundations. Thus, this work presents a methodology for calculating the probability of failure of bearing capacity using the probabilistic method First Order Second Moment (FOSM). The data used co

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Sokolovsky, K. V., A. Z. Bonanos, P. Gavras, et al. "The Hubble Catalog of Variables (HCV)." Proceedings of the International Astronomical Union 14, S339 (2017): 91–94. http://dx.doi.org/10.1017/s1743921318002296.

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AbstractThe Hubble Source Catalog (HSC) combines lists of sources detected on images obtained with the WFPC2, ACS and WFC3 instruments aboard the Hubble Space Telescope (HST) and now available in the Hubble Legacy Archive. The catalogue contains time-domain information for about two million of its sources detected using the same instrument and filter on at least five HST visits. The Hubble Catalog of Variables (HCV) aims to identify HSC sources showing significant brightness variations. A magnitude-dependent threshold in the median absolute deviation of photometric measurements (an outlier-res

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Lombardo, Rosaria, Eric J. Beh, Francesco Prattichizzo, et al. "Testing and Visualization of Associations in Three-Way Contingency Tables: A Study of the Gender Gap in Patients with Type 1 Diabetes and Cardiovascular Complications." Mathematics 12, no. 14 (2024): 2186. http://dx.doi.org/10.3390/math12142186.

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Using data from the Swedish National Diabetes Register, this study examines the gender disparity among patients with type 1 diabetes who have experienced a specific cardiovascular complication, while exploring the association between their weight variability, age group, and gender. Fourteen cardiovascular complications have been considered. This analysis is conducted using three-way correspondence analysis (CA), which allows for the partitioning and decomposition of Pearson’s three-way chi-squared statistic. The dataset comprises information organized in a data cube, detailing how weight varia

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Subawa, Nyoman Sri, I. Gusti Nyoman Krisna Hadinata, and Ni Kadek Winda Yanti. "Service quality as an intervening variable between promotion, price, and customer satisfaction." International research journal of management, IT and social sciences 12, no. 4 (2025): 178–87. https://doi.org/10.21744/irjmis.v12n4.2530.

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This study aims to analyze the effect of promotion and price on customer satisfaction with service quality as a mediating variable at the Service Product in Nusa Dua, Bali. The research sample consisted of 128 respondents selected using an accidental sampling technique. The data analysis method uses Partial Least Squares (PLS) with the help of SmartPLS 4.0 software to evaluate the relationship between variables. The results showed that promotion has a positive and significant effect on service quality with a coefficient value of 0.381 and a t-statistic of 5.117 (p < 0.05). Similarly, price

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