Academic literature on the topic '(co)variance'
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Journal articles on the topic "(co)variance"
DA FONSECA, JOSÉ, MARTINO GRASSELLI, and FLORIAN IELPO. "HEDGING (CO)VARIANCE RISK WITH VARIANCE SWAPS." International Journal of Theoretical and Applied Finance 14, no. 06 (September 2011): 899–943. http://dx.doi.org/10.1142/s0219024911006784.
Full textKumar, Divya, and K. K. Mishra. "Co-variance guided Artificial Bee Colony." Applied Soft Computing 70 (September 2018): 86–107. http://dx.doi.org/10.1016/j.asoc.2018.04.050.
Full textGaddis, Monica L. "Statistical Methodology: IV. Analysis of Variance, Analysis of Co variance, and Multivariate Analysis of Variance." Academic Emergency Medicine 5, no. 3 (March 1998): 258–65. http://dx.doi.org/10.1111/j.1553-2712.1998.tb02624.x.
Full textColtman, David W., Paul O'Donoghue, John T. Hogg, and Marco Festa-Bianchet. "SELECTION AND GENETIC (CO)VARIANCE IN BIGHORN SHEEP." Evolution 59, no. 6 (2005): 1372. http://dx.doi.org/10.1554/04-134.
Full textAlexander-Bloch, Aaron, Jay N. Giedd, and Ed Bullmore. "Imaging structural co-variance between human brain regions." Nature Reviews Neuroscience 14, no. 5 (March 27, 2013): 322–36. http://dx.doi.org/10.1038/nrn3465.
Full textColtman, David W., Paul O'Donoghue, John T. Hogg, and Marco Festa-Bianchet. "SELECTION AND GENETIC (CO)VARIANCE IN BIGHORN SHEEP." Evolution 59, no. 6 (June 2005): 1372–82. http://dx.doi.org/10.1111/j.0014-3820.2005.tb01786.x.
Full textCaroni, C., and P. Prescott. "Multivariate outlier tests with structured co variance matrices." Journal of Statistical Computation and Simulation 38, no. 1-4 (May 1991): 165–79. http://dx.doi.org/10.1080/00949659108811327.
Full textTijani, A., G. R. Wiggans, C. P. Van Tassell, J. C. Philpot, and N. Gengler. "Use of (Co)Variance Functions to Describe (Co)Variances for Test Day Yield." Journal of Dairy Science 82, no. 1 (January 1999): 226.e1–226.e14. http://dx.doi.org/10.3168/jds.s0022-0302(99)75228-8.
Full textKaraman, Emre, Mogens S. Lund, and Guosheng Su. "Multi-trait single-step genomic prediction accounting for heterogeneous (co)variances over the genome." Heredity 124, no. 2 (October 22, 2019): 274–87. http://dx.doi.org/10.1038/s41437-019-0273-4.
Full textGengler, N., T. Dusseldorf, G. R. Wiggans, J. R. Wright, and T. Druet. "Heterogeneity of (Co)Variance Components for Jersey Type Traits." Journal of Dairy Science 84, no. 7 (July 2001): 1772.e1–1772.e17. http://dx.doi.org/10.3168/jds.s0022-0302(01)74613-9.
Full textDissertations / Theses on the topic "(co)variance"
Ahmed, Yasir. "A Model-Based Approach to Demodulation of Co-Channel MSK Signals." Thesis, Virginia Tech, 2002. http://hdl.handle.net/10919/36265.
Full textMaster of Science
Keele, John Wiliam. "Estimation of (co)variance components by weighted and unweighted symmetric differences squared, and selected MIVQUE's : relationships between methods and relative efficiencies /." The Ohio State University, 1986. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487266011223482.
Full textTusell, Palomero Llibertat. "Exploring the genetics of the efficiency of fertile AI dose production in rabbits." Doctoral thesis, Universitat Politècnica de València, 2011. http://hdl.handle.net/10251/11842.
Full textTusell Palomero, L. (2011). Exploring the genetics of the efficiency of fertile AI dose production in rabbits [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/11842
Palancia
HITAJ, ASMERILDA. "Portfolio allocation under general return distribution." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2010. http://hdl.handle.net/10281/11961.
Full textSujipittham, Nattakorn. "Estimation of (co)variance components and genetic parameters for litters per sow per year and pigs weaned per sow per year." [Ames, Iowa : Iowa State University], 2007.
Find full textAntonakakis, Nikolaos. "Exchange Return Co-movements and Volatility Spillovers Before and After the Introduction of Euro." Elsevier, 2012. http://dx.doi.org/10.1016/j.intfin.2012.05.009.
Full textMarcondes, Cintia Righetti. ""Análise bayesiana da probabilidade de permanência no rebanho como característica de seleção para a raça Nelore"." Universidade de São Paulo, 2003. http://www.teses.usp.br/teses/disponiveis/17/17135/tde-19012004-100608/.
Full textThe new reproduction technologies like embryo transfer and in vitro fertilization brought to animal breeding researchers, and producers, a growing interest in the selection of females, which was a subject not well explored before, when the focus used to be only on evaluation and selection of males. The beef cattle industry is becoming more competitive each year, and the producers must think about all the aspects and details that can affect the production process. The PMGRN-USP (Nelore Breeding Program of the São Paulo University) studies a large number of traits to be used as selection criteria. Among these traits, there is stayability, which has a great economic importance. The aim of this project was to analyze the trait stayability, with a Bayesian approach, in a Nelore cattle population. Firstly, the implementation used two lengths of Gibbs chain (225 or 550 thousand), two periods of burn-in (25 or 50 thousand) and two thinning intervals (at each 1000 or 250 rounds). The cows were classified as 0 (failure, or less than three calves until six years of age), or 1 (success, or at least 3 calves until six years of age). The data were, or were not, restricted for NEP (Effective Number of Progeny), for number of sires in the contemporary group (GC), and for lack of variability in the contemporary group. Three different definitions of GC were tested. The software MTGSAM for threshold (Multiple-Trait Gibbs Sampler for Animal Models) was used, under an univariate sire-maternal grandsire model to get the (co)variance components, the heritability estimate and the solutions to each sire (that are used to get the Expected Progeny Differences - EPD). The results showed a low serial correlation in the samples, small differences among heritability estimates and a high rank correlation among the EPD estimates of the 4180 sires evaluated. The implementation 225000/25000/1000 was adopted to the subsequent analysis. The comparison between the heritability estimates obtained under the threshold model and the linear model didnt show any advantage to the first. The analysis under linear models could be preferred because of its reduced processing time in large data sets, needing only a transformation of the heritability estimates to the underlying scale. The comparisons, under linear model adjusted to the underlying scale, between the standard stayalility (0 or 1) and the alternative (obtained from the perception of the fertility differences among the cows classified as 1) showed a variation in the position of a considerable number of sires in the rank, maybe because the alternative trait gets some additional variation among sires. 4180 sires were classified in a rank and the genealogies of the 42 best sires (or TOP 1%, or the ones with stayability EPD greater than 57,6%) were studied to identify major families and evaluate the genetic variation of stayability. Besides of Karvardi Imp (a bull very present as an ascendant (2, 3 or 4 generations) of the dams of the TOP1% sires), another founder sires with influence among the TOP1% were Godhavari Imp (via Kurupathy and Neofito), Rolex (via Cardeal), Rastã, and Falo da BV (the last two via maternal).
Mankayi, Dolphia Thozama. "An investigation into the relationship between satisfaction with life and sense of coherence amongst the unemployed." University of the Western Cape, 1996. http://hdl.handle.net/11394/7861.
Full textThe present study investigated the relationship between the Sense Of Coherence and Satisfaction With Life amongst the unemployed. The study attempted to test the following hypotheses. 1. People with a high Sense Of Coherence tend to be satisfied with their lives in general. 2. Demographic variables such as age, gender, race and level of education have an influence on the subjects' scores on the Sense Of Coherence and Satisfaction With Life scales. 3. Length of unemployment has an impact on the subjects' Sense Of Coherence and Satisfaction With Life. In this study, subjects were drawn from the Department of Manpower in the Western Cape region. The data were obtained from a sample of 100 participants. Of this 100, 52 were males. Subjects were asked to complete the Sense Of Coherence and the Satisfaction With Life scales. Statistical procedures that were used are Multiple Linear Regression analysis, Product Moment Correlational Co-efficients, Analysis of Variance test (ANOVA) and the Cronbach Alphas of the various scales. It was found that Sense Of Coherence correlated significantly with Satisfaction With Life, thus supporting the first hypothesis. This led to the conclusion that a person with a strong Sense Of Coherence tends to be more satisfied with his/her life. However, a person with a weaker Sense Of Coherence finds it difficult to make sense out of his/her life. It was also found that most of the demographic variables did not reach any statistical significance. The general trend in this sample was that younger people had higher education and had been unemployed for fewer years. In comparison, older people were found to have less education and had been unemployed for more years. It was concluded that formal and informal education system will be necessary to develop and equip both young and older people with the experience and skills to use at work. This study was concluded by the discussion of the implications of the findings and suggestions for future research.
Goneos-Malka, Amaleya Catherina. "Marketing to young adults in the context of a postmodern society." Thesis, University of Pretoria, 2002. http://hdl.handle.net/2263/30427.
Full text- Whether young South African adults (Generation Y) exhibit postmodern behaviour, in the context of today’s postmodern culture.
- How young South African adults (Generation Y) use digital media?
- How to leverage the unique properties of digital media in marketing communication efforts directed towards young South African adults (Generation Y)?
- To question the application of modern marketing and/or marketing communication theories in postmodern society. In so doing, it suggested that in any given era marketing theories should be representative of the target society, therefore inferring the need to adjust existing theories and their application or formulate new ones that are representative of the specific era.
- To empirically determine whether Generation Y are exhibiting characteristics indicative of postmodern society.
Thesis (PhD)--University of Pretoria, 2011.
Marketing Management
PhD
Unrestricted
Goneos-Malka, Amaleya. "Marketing to young adults in the context of a postmodern society." Thesis, University of Pretoria, 2011. http://hdl.handle.net/2263/30427.
Full text- Whether young South African adults (Generation Y) exhibit postmodern behaviour, in the context of today’s postmodern culture.
- How young South African adults (Generation Y) use digital media?
- How to leverage the unique properties of digital media in marketing communication efforts directed towards young South African adults (Generation Y)?
- To question the application of modern marketing and/or marketing communication theories in postmodern society. In so doing, it suggested that in any given era marketing theories should be representative of the target society, therefore inferring the need to adjust existing theories and their application or formulate new ones that are representative of the specific era.
- To empirically determine whether Generation Y are exhibiting characteristics indicative of postmodern society.
Thesis (PhD)--University of Pretoria, 2011.
Marketing Management
PhD
Unrestricted
Books on the topic "(co)variance"
Haber, Stephen. Authoritarian Government. Edited by Donald A. Wittman and Barry R. Weingast. Oxford University Press, 2009. http://dx.doi.org/10.1093/oxfordhb/9780199548477.003.0038.
Full textAnjum, Rani Lill, and Stephen Mumford. What’s in a Correlation? Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198733669.003.0004.
Full textAzzouni, Jody. Ontology Without Borders. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190622558.001.0001.
Full textBook chapters on the topic "(co)variance"
Malkeson, Sean P., Daniel H. Wacks, and Nilanjan Chakraborty. "Modelling of Variance and Co-variance in Turbulent Flame–Droplet Interaction: A Direct Numerical Simulation Analysis." In Energy, Environment, and Sustainability, 313–66. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-7449-3_12.
Full textGupta, Shashank, Divya Kumar, and K. K. Mishra. "Truss Structure Optimization Using Co-variance Based Artificial Bee Colony Algorithm." In Lecture Notes in Computer Science, 174–83. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41000-5_17.
Full textAbdul Kadhar, K. Mohaideen, and S. Baskar. "Non-fragile Robust PI Controller Design Using Co-variance Matrix Adaptation Evolutionary Strategy." In Swarm, Evolutionary, and Memetic Computing, 32–43. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-03756-1_4.
Full textGilmour, Arthur R., Brian R. Cullis, Alison B. Frensham, and Robin Thompson. "(Co)Variance Structures for Linear Models in the Analysis of Plant Improvement Data." In COMPSTAT, 53–64. Heidelberg: Physica-Verlag HD, 1998. http://dx.doi.org/10.1007/978-3-662-01131-7_5.
Full textVimala, S., Sriramadasu Kalpana, EI-Sheikh A. EI-Syed, and D. M. Mamatha. "Screening of Genetic Variance Based on CO-I Gene Analysis of Silkworm (Bombyx mori) Races." In Learning and Analytics in Intelligent Systems, 287–98. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-46939-9_25.
Full textDiaz, Estrella, Águeda Esteban, Rocío Carranza, Carlos Sánchez-Camacho, and David Martín-Consuegra. "How Do Affect the Infusion of Smart Technology and Mindfulness of Tourism SMEs on Competitiveness?" In Information and Communication Technologies in Tourism 2023, 77–81. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-25752-0_7.
Full textKreitler, Shulamith, and Carmit Benbenishty. "COGNITIVE AND MOTIVATIONAL DETERMINANTS OF INTUITION." In Advances in Psychology and Psychological Trends, 159–69. inScience Press, 2020. http://dx.doi.org/10.36315/2021pad15.
Full textPickel, Gert, and Susanne Pickel. "Quantitative Methods in Transformation Research." In The Handbook of Political, Social, and Economic Transformation, 191–200. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198829911.003.0019.
Full textGrabowski, Wojciech. "Stock Markets of the Visegrad Countries after Their Accession to the European Union." In Banking and Finance. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.92102.
Full textDobrescu, Radu, and Dan Popescu. "Image Processing Applications Based on Texture and Fractal Analysis." In Applied Signal and Image Processing, 226–50. IGI Global, 2011. http://dx.doi.org/10.4018/978-1-60960-477-6.ch014.
Full textConference papers on the topic "(co)variance"
Alagurajah, Jeevithan, and Chee-Hung Henry Chu. "Adversarial defense by restricting in-variance and co-variance of representations." In SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3477314.3507067.
Full textSchubert, Erich, and Michael Gertz. "Numerically stable parallel computation of (co-)variance." In SSDBM '18: 30th International Conference on Scientific and Statistical Database Management. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3221269.3223036.
Full textHagiwara, Hiroki, Yoshinori Takahashi, and Kazunori Miyoshi. "Reflected wave reproduction using the Co-Variance Method." In 2014 IEEE 3rd Global Conference on Consumer Electronics (GCCE). IEEE, 2014. http://dx.doi.org/10.1109/gcce.2014.7031255.
Full textSullivan, Terrence B., and Keith Kirkpatrick. "Consideration of Co-Variance in Power Plant Test Uncertainty Calculations." In ASME 2007 Power Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/power2007-22095.
Full textRafi, Shaik, and Ranjita Das. "A Linear Sub-Structure with Co-Variance Shift for Image Captioning." In 2021 8th International Conference on Soft Computing & Machine Intelligence (ISCMI). IEEE, 2021. http://dx.doi.org/10.1109/iscmi53840.2021.9654828.
Full textWang, Yu, Bin Li, and Xuexiao Lai. "Variance priority based cooperative co-evolution differential evolution for large scale global optimization." In 2009 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2009. http://dx.doi.org/10.1109/cec.2009.4983086.
Full textZhang, Rongting, Guoqing Zhou, Jingjin Huang, and Xiang Zhou. "Maximum variance unfolding based co-location decision tree for remote sensing image classification." In 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE, 2017. http://dx.doi.org/10.1109/igarss.2017.8127803.
Full textMAMAT, ARIFIN, ISMAIEL HASSANEIN, MOHAMAD AZRIEN, and MOHD BURHAN. "Construct Validation of Teacher Efficacy in Teaching Arabic Scale A Co Variance Based Approach." In Third International Conference on Advances in Management, Economics and Social Science - MES 2015. Institute of Research Engineers and Doctors, 2015. http://dx.doi.org/10.15224/978-1-63248-081-1-34.
Full textToelle, Brian, B. J. Carney, and Richard Campbell. "2‐D variance and blended attribute analysis of deep structures in Lincoln, Co., West Virginia." In SEG Technical Program Expanded Abstracts 2004. Society of Exploration Geophysicists, 2004. http://dx.doi.org/10.1190/1.1842408.
Full textOtic´, I., and A. G. Class. "Numerical Investigation of a Heated Sodium Jet in a Co-Flow." In ASME/JSME 2007 5th Joint Fluids Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/fedsm2007-37566.
Full textReports on the topic "(co)variance"
Holbrook, Donald. Deconstructing Rightwing Extremism: Conceptual Variance and Attitudes Towards Islam. RESOLVE Network, June 2022. http://dx.doi.org/10.37805/remve2022.3.
Full textWisniewski, Michael E., Samir Droby, John L. Norelli, Noa Sela, and Elena Levin. Genetic and transcriptomic analysis of postharvest decay resistance in Malus sieversii and the characterization of pathogenicity effectors in Penicillium expansum. United States Department of Agriculture, January 2014. http://dx.doi.org/10.32747/2014.7600013.bard.
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