Relevant bibliographies by topics / Variability Statistic

Contents

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

Academic literature on the topic 'Variability Statistic'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Variability Statistic"

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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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Dissertations / Theses on the topic "Variability Statistic"

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Rose, Michael Benjamin. "A Search for Low-Amplitude Variability Among Population I Main Sequence Stars." BYU ScholarsArchive, 2006. https://scholarsarchive.byu.edu/etd/915.

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The detection of variable stars in open clusters is an essential component of testing stellar structure and evolution theories. The ability to detect low-amplitude variability among cluster members is directly related to the quality of the photometric results. Point Spread Function (PSF) fitting is the best method available for measuring accurate magnitudes within crowded fields of stars, while high-precision differential photometry is the preferred technique for removing the effects of atmospheric extinction and variable seeing. In the search for new variable stars among hundreds or thousands
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Akyel, Kaya Can. "Statistical methodologies for modelling the impact of process variability in ultra-deep-submicron SRAMs." Thesis, Grenoble, 2014. http://www.theses.fr/2014GRENT080/document.

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La miniaturisation des transistors vers ses ultimes limites physiques a exacerbé les effets négatifs qui sont liées à la granularité de la matière. Plusieurs nouvelles sources de variabilités affectent les transistors qui, bien qu'identiquement dessinés, montrent des caractéristiques électriques qui sont variables entre eux et entre différents moments de leur utilisation. Les circuits de mémoire SRAM, qui sont conçues avec des règles de dessin parmi le plus agressives et contiennent un nombre de transistors très élevé, sont menacés en particulier par ce phéomène de variabilité qui représente l
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Szmek, Tomáš. "Stabilita procesu výroby železničních podkladnic." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2011. http://www.nusl.cz/ntk/nusl-229776.

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The master’s thesis is focused on process monitoring using statistical process control SPC tools. It is designed as a guide for the implementation and use of control charts in the manufacturing process of the base plates, which would ultimately be conducive to improving and stabilizing the process. The theoretical parts are the basic attitudes and practices methodology of SPC, especially classical Shewhart control charts. The next section describes the current status in Strojírny Třinec, a.s. and the manufacturing process of the base plates. Followed by application of control charts for a give
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Světlíková, Barbora. "Statistická regulace výrobního procesu ve firmě." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2009. http://www.nusl.cz/ntk/nusl-222205.

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Using statistical methods to evaluate quality, it is possible to discover cases of non-accidental variances in quality-evaluating parameters and to analyse the reasons for their occurrence. The identification of these reasons enables their removal and the improvement of product quality. Routine evaluation of quality levels is facilitated by the employment of computer technology.
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Slauson, Leigh Victoria. "Students' conceptual understanding of variability." Columbus, Ohio : Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1199117318.

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Asenov, Plamen. "Accurate statistical circuit simulation in the presence of statistical variability." Thesis, University of Glasgow, 2013. http://theses.gla.ac.uk/4996/.

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Semiconductor device performance variation due to the granular nature of charge and matter has become a key problem in the semiconductor industry. The main sources of this ‘statistical’ variability include random discrete dopants (RDD), line edge roughness (LER) and metal gate granularity (MGG). These variability sources have been studied extensively, however a methodology has not been developed to accurately represent this variability at a circuit and system level. In order to accurately represent statistical variability in real devices the GSS simulation toolchain was utilised to simulate 10
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Díaz, Fortuny Javier. "A versatile framework for the statistical characterization of CMOS time-zero and time-dependent variability with array-based ICs." Doctoral thesis, Universitat Autònoma de Barcelona, 2019. http://hdl.handle.net/10803/667954.

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Desde la invención en 1960 del transistor de efecto de campo metal-óxido-semiconductor (MOSFET por sus siglas en inglés), la industria de semiconductores no ha cesado en la creación de nuevas invenciones para reducir las dimensiones de los transistores de la escala micrométrica (< 10-μm) a las dimensiones actuales de 7-14-nm, o incluso para la creación del nuevo nódulo tecnológico de 5-nm, cuya fabricación está prevista para 2020-2021, con el objetivo de fabricar dispositivos más fiables y circuitos más avanzados, con miles de millones de transistores por chip. Con todos los beneficios que
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Blume, Christian [Verfasser]. "Statistical learning to model stratospheric variability / Christian Blume." Berlin : Freie Universität Berlin, 2012. http://d-nb.info/1027815650/34.

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Crawford, Scott Daniel. "Sources of Variability in a Proteomic Experiment." Diss., CLICK HERE for online access, 2006. http://contentdm.lib.byu.edu/ETD/image/etd1534.pdf.

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Zhou, Long. "Mesoscale variability and Lagrangian statistics in the tropical North Atlantic /." View online ; access limited to URI, 2009. http://digitalcommons.uri.edu/dissertations/AAI3401129.

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Books on the topic "Variability Statistic"

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Guth, Scott. Elementary statistics: Managing variability and error. Mt. San Antonio College, 2006.

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Singh, Nityanand. Climatic and hydroclimatic features of wet and dry spells and their extremes across India. Indian Institute of Tropical Meteorology, 2009.

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Weisberg, Herbert F. Central tendency and variability. Sage Publications, 1992.

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Barnston, A. G. Atlas of frequency distribution, auto-correlation and cross-correlation of daily temperature and precipitation at stations in the U.S., 1948-1991 (in English units). U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Weather Service, 1993.

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Barnston, A. G. Atlas of frequency distribution, auto-correlation and cross-correlation of daily temperature and precipitation at stations in the U.S., 1948-1991 (in metric units). U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Weather Service, 1993.

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Zhang, J. C. Yield and variability optimization of integrated circuits. Kluwer Academic Publishers, 1995.

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International Conference on Soft Methods in Probability and Statistics (4th 2008 Toulouse, France). Soft methods for handling variability and imprecision. Springer Verlag, 2008.

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Robeson, Scott M. Spatial interpolation, network bias, and terrestrial air temperature variability. C.W. Thornthwaite Associates, Laboratory of Climatology, 1993.

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D, Schertzer, and Lovejoy S. 1956-, eds. Non-linear variability in geophysics: Scaling and fractals. Kluwer Academic Publishers, 1991.

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D, Miller Christopher, United States. Minerals Management Service. Pacific OCS Region., and Greenhorne & O'Mara., eds. An Initial statistical characterization of the variability of coastal winds and currents. U.S. Dept. of the Interior, Minerals Management Service, Pacific OCS Region, 1991.

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Book chapters on the topic "Variability Statistic"

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Snaibi, Wadii, and Abdelhamid Mezrhab. "Livestock Breeders’ Adaptation to Climate Variability and Change in Morocco’s Arid Rangelands." In African Handbook of Climate Change Adaptation. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-45106-6_18.

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AbstractSince the mid-1970s, the high plateaus of eastern Morocco have experienced proven trends of climate change (CC) such as a significant decrease in rainfall amounts and an increase in the droughts’ frequency. Consequently, the CC threatens the sustainability of this pastoral ecosystem and negatively affects the breeding of small ruminants, the main local-level livelihood, which becomes more vulnerable due to its high dependence on climatic conditions. This chapter aims to analyze breeders’ adaptation practices by taking into account their social stratification based on the size of the sh
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Navarro, Danielle, and David Foxcroft. "13. Comparing several means (one-way ANOVA)." In Learning Statistics with jamovi. Open Book Publishers, 2025. https://doi.org/10.11647/obp.0333.13.

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This chapter delves into the foundational principles and applications of one-way ANOVA (Analysis of Variance), a pivotal statistical tool introduced by Sir Ronald Fisher in the early 20th century. Despite its name suggesting a focus on variances, ANOVA primarily investigates differences in means across multiple groups. Through the use of a clinical trial example involving three drugs—placebo, Anxifree, and Joyzepam—the chapter illustrates the mechanics of one-way ANOVA, highlighting its ability to discern whether observed differences in outcomes, such as mood improvements, are statistically si
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Chamberlin, Scott A. "Variability." In Statistics for Kids. Routledge, 2021. http://dx.doi.org/10.4324/9781003238201-5.

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Van Blerkom, Malcolm L. "Variability." In Measurement and Statistics for Teachers. Routledge, 2017. http://dx.doi.org/10.4324/9781315464770-25.

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Metcalfe, Andrew V. "Modelling variability." In Statistics in Engineering. Springer US, 1994. http://dx.doi.org/10.1007/978-1-4899-6623-0_4.

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Kenett, Ron, Shelemyahu Zacks, and Peter Gedeck. "Analyzing Variability: Descriptive Statistics." In Statistics for Industry, Technology, and Engineering. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-07566-7_1.

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Frankignoul, Claude. "Statistical Analysis of GCM Output." In Analysis of Climate Variability. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-662-03744-7_8.

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Frankignoul, Claude. "Statistical Analysis of GCM Output." In Analysis of Climate Variability. Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-662-03167-4_8.

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McPherson, Glen. "Questions About Variability." In Applying and Interpreting Statistics. Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4757-3435-5_19.

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McPherson, Glen. "Questions About Variability." In Springer Texts in Statistics. Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4757-4290-9_19.

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Conference papers on the topic "Variability Statistic"

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Nikolopoulos, Angelos R., Efstratios I. Batzelis, Paul Lewin, and Nikolaos Nikolaou. "Statistical Analysis of Solar Irradiance Variability." In 2024 IEEE Power & Energy Society General Meeting (PESGM). IEEE, 2024. http://dx.doi.org/10.1109/pesgm51994.2024.10689164.

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Smedes, Theo, Wolfgang Scheucher, Sheela Verwoerd, and Joop Verwijst. "A Statistical Explanation of CDM Qualification Variability." In 2024 46th Annual EOS/ESD Symposium (EOS/ESD). IEEE, 2024. http://dx.doi.org/10.23919/eos/esd61719.2024.10702104.

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El-Sallabi, Hassan, Mohamed Abdallah, Jean-Francois Chamberland, and Khalid Qaraqe. "Variability of ellipticity statistic of MIMO indoor radio channels with antenna orientation angle." In 2015 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting. IEEE, 2015. http://dx.doi.org/10.1109/aps.2015.7304535.

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Chen, Xiaoming, David A. Wagner, Dan Q. Houston, and Ronald P. Cooper. "Elongation Variability of AM60 Die Cast Specimens." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-61711.

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Tensile properties of die cast magnesium AM60 were investigated by testing tensile bar specimens obtained from three sources. The first series of tensile bars were cut from eight locations from multiple copies of a die cast magnesium AM60 automotive instrument panel beam. The second series were cut from six-inch square AM60 die cast plates in both the parallel and perpendicular to the flow direction. The last series of specimens were die cast AM60 tensile bars. The measured yield stress did not significantly depend on the specimen source and matched published values. However, the elongation as
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Hillali, Youness, Samir Chafik, Najlae Alfathi, and Mourad Zegrari. "Variability and correlation of parameters for dynamic balancing of an assembly line based on a statistic method." In 2023 14th International Conference on Intelligent Systems: Theories and Applications (SITA). IEEE, 2023. http://dx.doi.org/10.1109/sita60746.2023.10373592.

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Kulas, John, Marlee Wanamaker, Diuky Padron-Marrero, and Hui Xu. "Sample Size Sensitivity in Descriptive Baseball Statistics." In CARMA 2020 - 3rd International Conference on Advanced Research Methods and Analytics. Universitat Politècnica de València, 2020. http://dx.doi.org/10.4995/carma2020.2020.11643.

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This paper presents one element of a larger project that probes for systematicand predictable patterns of variability/volatility in baseball's descriptivestatistics. The larger project standardizes many baseball indices along anevent metric and provides relative estimates of each index’s point of inflectiontoward an empirical asymptote. Specifically these estimates reflect deviationsin sensitivity to “sample size” (e.g., which descriptive statistics are more orless robust across events). The end purpose of this broader investigation is aqualifier to be associated with such statistics: sample s
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Banerjee, Sauvik, Fabrizio Ricci, and Ajit Mal. "A Vibration and Wave Propagation Based Methodology for Near Real-Time Damage Monitoring of Composite Structures." In ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-42095.

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This paper presents a novel approach to achieve near real-time damage monitoring whereby ultrasonic wave propagation and vibration data are analyzed to determine the location and degree of damage, requiring minimal operator intervention. An improved test setup, consisting of high fidelity sensor arrays, laser scanning vibrometer, data acquisition boards, signal conditioning and dedicated software has been implemented. The collected data are analyzed using a statistical damage index approach to determine the degree of damage to the structure as a function of time with a high confidence level. T
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Hassad, Rossi. "Variability in the teaching of statistical literacy: a case of pedagogical dissonance?" In Advances in Statistics Education: Developments, Experiences, and Assessments. International Association for Statistical Education, 2015. http://dx.doi.org/10.52041/srap.15320.

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Statistics education is a fast evolving discipline, and major advances have been made over the past two decades regarding reform of the introductory statistics course. There is now growing consensus that the introductory statistics course should seek to develop statistical literacy. The objective of this pilot study was to explore and describe self-reports of course learning outcomes and assessment strategies, as well as the extent to which instructors of introductory statistics at the college level emphasize statistical literacy. The results revealed that for a considerable proportion of inst
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Djauhari, Maman A., Rohayu Mohd Salleh, Zunnaaim Zolkeply, and Lee Siaw Li. "On the reliability of Shewhart-type control charts for multivariate process variability." In THE 3RD ISM INTERNATIONAL STATISTICAL CONFERENCE 2016 (ISM-III): Bringing Professionalism and Prestige in Statistics. Author(s), 2017. http://dx.doi.org/10.1063/1.4982866.

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Parvate, Vishakha, William Finzer, Cynthia Beals, and Robert Gould. "Fathoming Student Learning: a Survey Based Approach Using Fathom Surveys to Formative Assessment in an AP-Statistics Classroom." In Assessing Student leaning in Statistics. International Association for Statistical Education, 2007. http://dx.doi.org/10.52041/srap.07703.

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This paper describes a classroom experience using a data gathering and analysis tool to scaffold a learning process that involves classroom surveys as a means of gathering formative assessment data.. An AP-Statistics class uses data about their own sleep patterns to investigate measures of variability. The class applies various measures of variability to the sleep data set and comments on their efficacy using a survey created in Fathom. The students comment on the measures in groups, rate the measures, and provide justifications. Students in a statistics class should find themselves routinely
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Reports on the topic "Variability Statistic"

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Freeman, Reed B., and William P. Grogan. Statistical Analysis and Variability of Pavement Materials. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada329319.

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Brunsell, Nathaniel, David Mechem, and Chunsheng Ma. Assessing Regional Scale Variability in Extreme Value Statistics Under Altered Climate Scenarios. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1170412.

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De Sanctis, Gianluca, Michael Moos, and Christian Aumayer. Survey of Occupant Load Densities in Retail Buildings. SFPE Foundation, 2019. https://doi.org/10.64167/sama-4ygy.

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Occupant load is a critical factor in egress analyses for fire safety systems. Codified values for occupant load for many occupancies are estimates which frequently do not reflect actual conditions. Further, a full statistical analysis of the data, taking into account its variability, is often not undertaken and reported. For retail buildings in particular, the variability of the occupant load can provide important design information. The project described in this report provides: • an in-depth assessment of currently available people counting systems, identifying strengths and weaknesses. • a
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Lu, Zhan-Qian John, Charles Fenimore, Nicholas Petrick, et al. Statistical Analysis of Reader Measurement Variability in Nodule Sizing with CT Phantom Imaging Data. National Institute of Standards and Technology, 2012. http://dx.doi.org/10.6028/nist.ir.7879.

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Al-Qadi, Imad, José Rivera-Perez, Hasan Ozer, et al. Data Trends and Variability in Quality Control for Performance and Pay for Performance Specifications: Statistical Analysis. Illinois Center for Transportation, 2020. http://dx.doi.org/10.36501/0197-9191/20-006.

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Garzon-Sabogal, Luis, Amy Getchell, Peter J. Becker, Philippe L. Bourdeau, and Marika Santagata. Control Guidelines for Aggregate Drainage Layers and Evaluation of In-Situ Permeability Testing Methods for Aggregates. Purdue University, 2025. https://doi.org/10.5703/1288284317769.

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This project examined the use of the light weight deflectometer (LWD) and the air permeameter test (APT) for control of the state of compaction and hydraulic conductivity of aggregate drainage layers. The investigation included an extensive program of LWDs, APTs, and nuclear density tests on two testing strips constructed at an experimental site—one on an untreated subgrade and the other on cement-treated subgrade, The project also included additional field tests at three construction sites in Indiana and a laboratory testing program for calibration and validation of the field data. Statistics
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Anderson, Andrew, and Mark Yacucci. Inventory and Statistical Characterization of Inorganic Soil Constituents in Illinois: Appendices. Illinois Center for Transportation, 2021. http://dx.doi.org/10.36501/0197-9191/21-007.

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This report presents detailed histograms of data from the Regulated Substances Library (RSL) developed by the Illinois Department of Transportation (IDOT). RSL data are provided for state and IDOT region, IDOT district, and county spatial subsets to examine the spatial variability and its relationship to thresholds defining natural background concentrations. The RSL is comprised of surficial soil chemistry data obtained from rights-of-way (ROW) subsurface soil sampling conducted for routine preliminary site investigations. A selection of 22 inorganic soil analytes are examined in this report:
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Pruitt, Bruce, K. Killgore, William Slack, and Ramune Matuliauskaite. Formulation of a multi-scale watershed ecological model using a statistical approach. Engineer Research and Development Center (U.S.), 2020. http://dx.doi.org/10.21079/11681/38862.

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The purpose of this special report is to provide a statistical stepwise process for formulation of ecological models for application at multiple scales using a stream condition index (SCI). Given the global variability of aquatic ecosystems, this guidance is for broad application and may require modification to suit specific watersheds or stream reaches. However, the general statistical treatise provided herein applies across physiographies and at multiple scales. The Duck River Watershed Assessment in Tennessee was used, in part, to develop and test this multiscale, statistical approach; thus
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Workman, Austin, and Jay Clausen. Meteorological property and temporal variable effect on spatial semivariance of infrared thermography of soil surfaces for detection of foreign objects. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41024.

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The environmental phenomenological properties responsible for the thermal variability evident in the use of thermal infrared (IR) sensor systems is not well understood. The research objective of this work is to understand the environmental and climatological properties contributing to the temporal and spatial thermal variance of soils. We recorded thermal images of surface temperature of soil as well as several meteorological properties such as weather condition and solar irradiance of loamy soil located at the Cold Regions Research and Engineering Lab (CRREL) facility. We assessed sensor perf
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Arévalo-Sáenz, Alejandra, Borja Ferrández Pujante, and Fernando J. Rascón-Ramírez. Peritumoral Edema in Resected Meningiomas: Study of Factors Associated with the Variability of Postoperative Duration. Science Repository, 2024. http://dx.doi.org/10.31487/j.scr.2024.01.05.

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Background: It is well known that edema can persist after meningioma resection, and sometimes it is not resolved after this time. This study aimed to establish the relationship between a series of variables associated with meningioma or surgery, and the duration of postoperative edema. Methods: We conducted a retrospective study of 77 meningiomas resected at our institution between January 2016 and January 2018 with a maximum follow-up period of up to three years. The independent variables collected were demographics, tumor location, relationship with the sinuses (invasion/contact), relationsh
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