Relevant bibliographies by topics / Data of variable size

Contents

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

Academic literature on the topic 'Data of variable size'

Author: Grafiati
Published: 25 May 2024
Last updated: 19 July 2025

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Journal articles on the topic "Data of variable size"

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Fibriyanti, Yenni Vera. "THE INFLUENCE OF CORPORATE GOVERNANCE, LEVERAGE, COMPANY SIZE ON FINANCIAL PERFORMANCE." JHSS (Journal of Humanities and Social Studies) 6, no. 3 (2022): 345–48. http://dx.doi.org/10.33751/jhss.v6i3.6490.

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This study aims to determine the effect of corporate governance as proxied by independent commissioners, directors and audit committees as well as other variables, namely leverage and firm size on financial performance. The data used in this study is secondary data. While the sample in this study is the automotive and component sub-sector manufacturing companies during the 2017-2020 period. The method used is purposive sampling and there are 12 companies included in this research criteria. The results of this study indicate that the independent commissioner variable partially has no effect on
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Axford, Danny, Robin Owen, and Gwyndaf Evans. "Diffraction data collection with a dynamically variable beam size." Acta Crystallographica Section A Foundations of Crystallography 69, a1 (2013): s409. http://dx.doi.org/10.1107/s0108767313096438.

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Nur Syamsiyah and Wulandari. "Factors Affecting Dividend Policy in Financial Sector Companies in Indonesia: Panel Data Analysis." JFBA: Journal of Financial and Behavioural Accounting 2, no. 1 (2022): 35–45. http://dx.doi.org/10.33830/jfba.v2i1.3642.2022.

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This study aims to analyze the factors that influence dividend policy in financial sector companies in Indonesia. The independent variables in this study are profitability, leverage, managerial ownership, and firm size. While the dependent variable used is dividend policy. Findings. The results showed that simultaneously all independent variables (leverage, firm size, profitability, and managerial ownership) affected dividend policy (the dependent variable). The percentage of influence of all variables used in this study on dividend policy is 72.52%. At the same time the rest is influenced by
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Ma, Yung-Cheng, Jih-Ching Chiu, Tien-Fu Chen, and Chung-Ping Chung. "Variable-size data item placement for load and storage balancing." Journal of Systems and Software 66, no. 2 (2003): 157–66. http://dx.doi.org/10.1016/s0164-1212(02)00073-0.

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Tiffin, Paul A. "miesize: Effect-size calculation in imputed data." Stata Journal: Promoting communications on statistics and Stata 24, no. 3 (2024): 503–13. http://dx.doi.org/10.1177/1536867x241276113.

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In this article, I describe the miesize command for the calculation of effect sizes in imputed data. There may be situations where an effect size needs to be estimated for an intervention, an exposure, or a group membership variable but data on the independent or dependent variable are missing. Such missing data are commonly dealt with by multiply imputing plausible values. However, in this circumstance, the estimated effect size and associated standard errors will need to be pooled and estimated from the imputed dataset. The miesize command automates this process and calculates effect sizes f
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Mohammed, N. AL-Chaabawi, J. Samimi Ahmad, and M. Tehranchian Amir. "Economic growth related to Iraqi government Size." World Journal of Advanced Research and Reviews 17, no. 2 (2023): 313–25. https://doi.org/10.5281/zenodo.8107223.

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<strong>Background</strong>: The aim of the current research was to studying the impacts of the government size on an economic growth of Iraq. In spite of the high rate of the government spending, there are no good impact on economic growth. <strong>Methods</strong>:&nbsp; Data was collected from Central Bank of Iraq, including, the dependent variables, which were Gross domestic product and annual growth. We have used the ARDL method to analyses the data using canonical correlation analysis. The study included the effect relationship between the independent variables and the dependent variable
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Pratiwi, Efa Mega, and Fetria Eka Yudiana. "Peran islamic corporate social responsibility dalam memediasi pengaruh ukuran perusahaan, leverage, likuiditas, dan kecukupan modal terhadap kinerja keuangan." Journal of Accounting and Digital Finance 3, no. 2 (2023): 107–24. http://dx.doi.org/10.53088/jadfi.v3i2.825.

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This research aimed to determine the effect of company size, leverage, liquidity, and capital adequacy on financial performance as intervening variables in Islamic commercial banks for 2015-2019. The data used is quantitative data, which is measured on a numerical scale. The data type used is secondary data obtained from financial reports of Islamic commercial banks in Indonesia from 2015 to 2019. The method for testing hypotheses uses a path analysis approach. This research shows that the DER, CAR, and ICSR variables significantly affect ROA, but the SIZE and FDR variables have no effect on R
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Rizky, Zan Ana, and Anton Bawono. "THE EFFECT OF CAR, SIZE, CKPN, NPF ON FDR BUS WITH TPF AS INTERVENING VARIABLES IN 2016-2021." JOURNAL OF APPLIED MANAGERIAL ACCOUNTING 6, no. 2 (2022): 221–32. http://dx.doi.org/10.30871/jama.v6i2.4076.

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This study was conducted to know the effect of CAR, Size, CKPN, and NPF on Sharia Banking FDR with TPF as the intervening variable BUS in 2016-2021. This type of research uses quantitative with multiple regression analysis as data analysis sourced from secondary data. The model selected in this study uses panel data in the form of Fixed Effect Model annual data of CAR, Size, CKPN, NPF, TPF, and FDR recorded in BUS for the 2016-2021 period. The research data obtained were analyzed using the Eviews 10 application tool. The results of the research conducted by data processing showed that the TPF
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Mukherjee, Prasita, Sourasekhar Banerjee, and Asoke Nath. "Data Hiding Algorithm using Variable Block Size in Cover Image File." International Journal of Computer Applications 89, no. 13 (2014): 11–20. http://dx.doi.org/10.5120/15690-4559.

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Angraeni, Windy, Elvin Bastian, and Tri Lestari. "The Effect of Leverage, Firm Size, Profitability and Political Connections on Income Smoothing." Journal of Applied Business, Taxation and Economics Research 1, no. 6 (2022): 532–35. http://dx.doi.org/10.54408/jabter.v1i6.93.

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This study aims to determine the effect of leverage, firm size, profitability and political connections on income smoothing with firm value as a moderating variable. The approach used in this research is a quantitative approach. The data in this study are secondary data and data obtained from the site www.idx.go.id and company performance reports. The sampling technique used was purposive sampling technique with a total sample of 90 observation data from manufacturing companies in the consumer goods industry sector in 2016-2020. The data analysis technique uses multiple linear regression analy
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Dissertations / Theses on the topic "Data of variable size"

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Chen, Haiying. "Ranked set sampling for binary and ordered categorical variables with applications in health survey data." Connect to this title online, 2004. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1092770729.

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Thesis (Ph. D.)--Ohio State University, 2004.<br>Title from first page of PDF file. Document formatted into pages; contains xiii, 109 p.; also includes graphics Includes bibliographical references (p. 99-102). Available online via OhioLINK's ETD Center
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Liv, Per. "Efficient strategies for collecting posture data using observation and direct measurement." Doctoral thesis, Umeå universitet, Yrkes- och miljömedicin, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-59132.

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Relationships between occupational physical exposures and risks of contracting musculoskeletal disorders are still not well understood; exposure-response relationships are scarce in the musculoskeletal epidemiology literature, and many epidemiological studies, including intervention studies, fail to reach conclusive results. Insufficient exposure assessment has been pointed out as a possible explanation for this deficiency. One important aspect of assessing exposure is the selected measurement strategy; this includes issues related to the necessary number of data required to give sufficient in
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Högberg, Hans. "Some properties of measures of disagreement and disorder in paired ordinal data." Doctoral thesis, Örebro universitet, Handelshögskolan vid Örebro universitet, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-12350.

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The measures studied in this thesis were a measure of disorder, D, and a measure of the individual part of the disagreement, the measure of relative rank variance, RV, proposed by Svensson in 1993. The measure of disorder is a useful measure of order consistency in paired assessments of scales with a different number of possible values. The measure of relative rank variance is a useful measure in evaluating reliability and for evaluating change in qualitative outcome variables. In Paper I an overview of methods used in the analysis of dependent ordinal data and a comparison of the methods rega
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Sanchez, Théophile. "Reconstructing our past ˸ deep learning for population genetics." Electronic Thesis or Diss., université Paris-Saclay, 2022. http://www.theses.fr/2022UPASG032.

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Avec l'explosion des technologies de séquençage, de plus en plus de données génomiques sont disponibles, ouvrant la voie à une connaissance approfondie des forces évolutives en œuvre et en particulier de l'histoire démographique des populations. Toutefois, extraire l'information intéressante de ces données massives de manière efficace reste un problème ouvert. Compte tenu de leurs récents succès en apprentissage statistique, les réseaux de neurones artificiels sont un candidat sérieux pour mener à bien une telle analyse. Ces méthodes ont l'avantage de pouvoir traiter des données ayant une gran
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Fakhouri, Elie Michel. "Variable block-size motion estimation." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ37260.pdf.

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Ruengvirayudh, Pornchanok. "A Monte Carlo Study of Parallel Analysis, Minimum Average Partial, Indicator Function, and Modified Average Roots for Determining the Number of Dimensions with Binary Variables in Test Data: Impact of Sample Size and Factor Structure." Ohio University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou151516919677091.

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Nataša, Krklec Jerinkić. "Line search methods with variable sample size." Phd thesis, Univerzitet u Novom Sadu, Prirodno-matematički fakultet u Novom Sadu, 2014. http://dx.doi.org/10.2298/NS20140117KRKLEC.

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The problem under consideration is an unconstrained optimization&nbsp;problem with the objective function in the form of mathematical ex-pectation. The expectation is with respect to the random variable that represents the uncertainty. Therefore, the objective &nbsp;function is in fact deterministic. However, nding the analytical form of that objective function can be very dicult or even impossible. This is the reason why the sample average approximation is often used. In order to obtain reasonable good approximation of the objective function, we have to use relatively large sample size. We as
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Hintze, Christopher Jerry. "Modeling correlation in binary count data with application to fragile site identification." Texas A&M University, 2005. http://hdl.handle.net/1969.1/4278.

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Available fragile site identification software packages (FSM and FSM3) assume that all chromosomal breaks occur independently. However, under a Mendelian model of inheritance, homozygosity at fragile loci implies pairwise correlation between homologous sites. We construct correlation models for chromosomal breakage data in situations where either partitioned break count totals (per-site single-break and doublebreak totals) are known or only overall break count totals are known. We derive a likelihood ratio test and Neyman’s C( α) test for correlation between homologs when partitioned b
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Sodagari, Shabnam. "Variable block-size disparity estimation in stereo imagery." Thesis, University of Ottawa (Canada), 2003. http://hdl.handle.net/10393/26399.

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This thesis addresses the problem of developing and implementing in software a variable block size (quadtree splitting) disparity estimation algorithm that is optimized for use in compression of stereo image pairs and studying its performance over a range of rate/distortion values for a variety of images. First the constrained optimization problem is converted to an unconstrained one using the Lagrange multiplier approach. Then by solving the optimization problem using dynamic programming, the optimal variables representing the optimal quadtree structure and the quantizer for each node are det
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Dziminski, Martin A. "The evolution of variable offspring provisioning." University of Western Australia, 2005. http://theses.library.uwa.edu.au/adt-WU2005.0134.

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Most theoretical models predict an optimal offspring size that maximises parental fitness. Variation in the quality of the offspring environment can result in multiple offspring size optima and therefore variation of offspring provisioning can evolve. Variation in offspring provisioning is common and found across a variety of taxa. It can be defined as between populations, explained by optimality models, or between and within individuals, neither so easily explained by optimality models. My research focused on the evolution of variable offspring provisioning by testing theoretical models relat
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Books on the topic "Data of variable size"

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Tritton, Kelvin. Variable data printing. PIRA, 2003.

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Components, Philips. Variable capacitors: Data handbook. Philips Components, 1993.

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Christine, Bachrach, National Survey of Family Growth (U.S.), and National Center for Health Statistics (U.S.), eds. National survey of family growth, cycle III: Sample design, weighting, and variance estimation : this report describes the procedures used to select the sample. U.S. Dept. of Health and Human Services, Public Health Service, National Center for Health Statistics, 1985.

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Salomon, David. Variable-length Codes for Data Compression. Springer London, 2007. http://dx.doi.org/10.1007/978-1-84628-959-0.

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Albert, Boggess, and Stewart James 1941-, eds. Single variable CalcLabs with Derive: For Stewart's fourth edition, Calculus, Single variable calculus, Calculus--early transcendentals, Single variable calculus--early transcendentals. Brooks/Cole Pub., 1999.

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Center, Goddard Space Flight, ed. Nickel-cadmium cell design variable program data analysis. National Aeronautics and Space Administration, Goddard Space Flight Center, 1985.

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Hirsch and Coxford. Predicting from Data: An alternative unit for representing and analyzing two-variable data. McGraw-Hill/Glencoe, 1995.

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Bizon, Thomas P. Real-time transmission of digital video using variable-lengthbcoding. National Aeronautics and Space Administration, 1993.

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Bizon, Thomas P. Real-time transmission of digital video using variable-lengthbcoding. National Aeronautics and Space Administration, 1993.

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Bizon, Thomas P. Real-time transmission of digital video using variable-lengthbcoding. National Aeronautics and Space Administration, 1993.

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Book chapters on the topic "Data of variable size"

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Quicke, Donald L. J., Buntika A. Butcher, and Rachel A. Kruft Welton. "Count data as response variable." In Practical R for biologists: an introduction. CABI, 2021. http://dx.doi.org/10.1079/9781789245349.0012.

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Abstract This chapter is devoted specifically to count data for three reasons: (i) they are common in ecological studies (e.g. clutch sizes, numbers of fledglings from a nest, numbers of seeds per pod...); (ii) they are simple to collect and are therefore often the data collected by students (e.g. numbers of beetles in a pitfall trap, number of pollinator visits to flowers...); and (iii) they pose numerous issues that linear models with their normal error structure cannot deal with. Two studies will be examined with the response variable being counts, starting with one that nearly fits the ideals of a Poisson distribution well, the other less so. Example 1 deals with fledgling numbers in relation to clutch initiation date. The data are on the northern cardinal bird, Cardinalis cardinalis, and were collected to test the hypothesis that birds that start their clutches later may suffer higher pre-fledging offspring mortality. Example 2 focuses on pollinator flower visits in Passiflora speciosa in relation to flower size.
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Quicke, Donald L. J., Buntika A. Butcher, and Rachel A. Kruft Welton. "Count data as response variable." In Practical R for biologists: an introduction. CABI, 2021. http://dx.doi.org/10.1079/9781789245349.0147.

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Abstract This chapter is devoted specifically to count data for three reasons: (i) they are common in ecological studies (e.g. clutch sizes, numbers of fledglings from a nest, numbers of seeds per pod...); (ii) they are simple to collect and are therefore often the data collected by students (e.g. numbers of beetles in a pitfall trap, number of pollinator visits to flowers...); and (iii) they pose numerous issues that linear models with their normal error structure cannot deal with. Two studies will be examined with the response variable being counts, starting with one that nearly fits the ideals of a Poisson distribution well, the other less so. Example 1 deals with fledgling numbers in relation to clutch initiation date. The data are on the northern cardinal bird, Cardinalis cardinalis, and were collected to test the hypothesis that birds that start their clutches later may suffer higher pre-fledging offspring mortality. Example 2 focuses on pollinator flower visits in Passiflora speciosa in relation to flower size.
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Djebour, Lamia, Reza Akbarinia, and Florent Masseglia. "Variable-Size Segmentation for Time Series Representation." In Transactions on Large-Scale Data- and Knowledge-Centered Systems LIII. Springer Berlin Heidelberg, 2023. http://dx.doi.org/10.1007/978-3-662-66863-4_2.

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Putluri, Srinivasareddy, and Md Zia Ur Rahman. "Novel Exon Predictors Using Variable Step Size Adaptive Algorithms." In Innovative Data Communication Technologies and Application. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38040-3_86.

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Behera, Mandakini Priyadarshani, Archana Sarangi, Debahuti Mishra, and Srikanta Kumar Mohapatra. "Variable Step Size Firefly Algorithm for Automatic Data Clustering." In Smart Innovation, Systems and Technologies. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9873-6_22.

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Li, Yuxiong, Yujuan Tan, Congcong Xu, et al. "AIR Cache: A Variable-Size Block Cache Based on Fine-Grained Management Method." In Web and Big Data. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85899-5_12.

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Dröge, Gisbert, and Hans-Jörg Schek. "Query- adaptive data space partitioning using variable-size storage clusters." In Advances in Spatial Databases. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/3-540-56869-7_19.

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Leirens, Sylvain, Christophe Villien, and Bruno Flament. "Feasibility of WiFi Site-Surveying Using Crowdsourced Data." In Latent Variable Analysis and Signal Separation. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-53547-0_45.

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Quicke, Donald L. J., Buntika A. Butcher, and Rachel A. Kruft Welton. "Analysis of covariance (ANCOVA)." In Practical R for biologists: an introduction. CABI, 2021. http://dx.doi.org/10.1079/9781789245349.0014.

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Abstract This chapter deals with analysis of covariance or ANCOVA, a combination of ANOVA and regression. It tests the effects of a mix of continuous and categorical variables on a continuous response variable. Two examples are presented. Example 1 is based on a study investigating the effects of two types of tagging (acrylic paint and subcutaneous microtags) on the growth of the coral reef goby, Coryphopterus glaucofraenum, in the British Virgin Islands and included initial size as a continuous explanatory variable. Example 2 analyses data from a study on the number of pollinaria removed by pollinators from inflorescences of two Sirindhornia orchid species (S. monophylla and S. mirabillis) in relation to the number of flowers in the inflorescence (also count data) and the orchid species (categorical).
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Quicke, Donald L. J., Buntika A. Butcher, and Rachel A. Kruft Welton. "Analysis of covariance (ANCOVA)." In Practical R for biologists: an introduction. CABI, 2021. http://dx.doi.org/10.1079/9781789245349.0166.

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Abstract This chapter deals with analysis of covariance or ANCOVA, a combination of ANOVA and regression. It tests the effects of a mix of continuous and categorical variables on a continuous response variable. Two examples are presented. Example 1 is based on a study investigating the effects of two types of tagging (acrylic paint and subcutaneous microtags) on the growth of the coral reef goby, Coryphopterus glaucofraenum, in the British Virgin Islands and included initial size as a continuous explanatory variable. Example 2 analyses data from a study on the number of pollinaria removed by pollinators from inflorescences of two Sirindhornia orchid species (S. monophylla and S. mirabillis) in relation to the number of flowers in the inflorescence (also count data) and the orchid species (categorical).
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Conference papers on the topic "Data of variable size"

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Sefidgaran, Milad, and Abdellatif Zaidi. "Data-Dependent Generalization Bounds via Variable-Size Compressibility." In 2024 IEEE International Symposium on Information Theory (ISIT). IEEE, 2024. http://dx.doi.org/10.1109/isit57864.2024.10619654.

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Wan, Zhengang, and Yonghao Zhou. "An improved variable step size LMS adaptive filtering algorithm based on hyperbolic sine function and its application." In 2024 5th International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE). IEEE, 2024. http://dx.doi.org/10.1109/icbase63199.2024.10762238.

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Nestleroth, J. Bruce, Steven W. Rust, David A. Burgoon, and Harvey Haines. "Determining Corrosion Defect Geometry from Magnetic Flux Leakage Pig Data." In CORROSION 1996. NACE International, 1996. https://doi.org/10.5006/c1996-96044.

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Abstract Accurate determination of the size of corrosion defects is important for determining defect severity. Many magnetic flux leakage pigs employ strong magnetizers and a large number of sensors for improved defect geometry determination methods. Analysis of data from 128 metal loss defects examined repeatedly under different test conditions is used to illustrate pig performance capabilities. An assessment of two inspection variables that can degrade performance is also presented.
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Glover, Emily, Radu Teodorescu, Matthew Floros, Mark J., Ashwani Padthe, and Tom Berger. "Forward Flight System Identification for an Electric Medium-Sized Variable-Rotational Speed Rotor." In Vertical Flight Society 80th Annual Forum & Technology Display. The Vertical Flight Society, 2024. http://dx.doi.org/10.4050/f-0080-2024-1068.

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The Joint Tactical Aerial Resupply Vehicle (JTARV) project is supporting the expansion of the Army's unmanned aerial reconnaissance capability by working to obtain high-quality test data that is scarce for group 2 and group 3 UAVs to validate physics-based models. This paper will evaluate the system identification results from transient testing at a wind tunnel speed of 29.2 kts (15 m/s) of the commercial off the shelf T-motor '28x9.2' rotor which is used on the TRV-80 platform, a group 3 UAV. Rotor angles of attack of -90° to 0°, which represent climb to edgewise flight respectively, were tes
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Wang, Su, and Chein-I. Chang. "Variable-size variable-band selection for spectral feature characterization in hyperspectral data." In Optics East 2006, edited by Steven D. Christesen, Arthur J. Sedlacek III, James B. Gillespie, and Kenneth J. Ewing. SPIE, 2006. http://dx.doi.org/10.1117/12.684911.

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Katsipoulakis, Nikos R., Alexandros Labrinidis, and Panos K. Chrysanthis. "Concept-Driven Load Shedding: Reducing Size and Error of Voluminous and Variable Data Streams." In 2018 IEEE International Conference on Big Data (Big Data). IEEE, 2018. http://dx.doi.org/10.1109/bigdata.2018.8622265.

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Voigt, Michael. "Watermarking geographic vector-data using a variable strip-size scheme." In Electronic Imaging 2007. SPIE, 2007. http://dx.doi.org/10.1117/12.704557.

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Emlek, Alper, Murat Peker, and Kamil Fatih Dilaver. "Variable window size for stereo image matching based on edge information." In 2017 International Artificial Intelligence and Data Processing Symposium (IDAP). IEEE, 2017. http://dx.doi.org/10.1109/idap.2017.8090229.

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Rusu, Alexandru-George, Laura-Maria Dogariu, Ruxandra-Liana Costea, Constantin Paleologu, Jacob Benesty, and Silviu Ciochina. "A Variable Step-Size Affine Projection Algorithm Based on Data Reuse." In 2022 45th International Conference on Telecommunications and Signal Processing (TSP). IEEE, 2022. http://dx.doi.org/10.1109/tsp55681.2022.9851279.

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Do, Jaeyoung, Chen Luo, and David Lomet. "Programming an SSD Controller to Support Batched Writes for Variable-Size Pages." In 2021 IEEE 37th International Conference on Data Engineering (ICDE). IEEE, 2021. http://dx.doi.org/10.1109/icde51399.2021.00071.

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Reports on the topic "Data of variable size"

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Fernández Cerezo, Alejandro, Borja Fernández-Rosillo San Isidro, and Natividad Pérez Martín. The Banco de España’s Central Balance sheet data office database: a regional perspective. Banco de España, 2024. http://dx.doi.org/10.53479/37594.

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The availability of a firm-level database that is representative of the productive sector of an economy on an aggregate scale is increasingly important to analyse the heterogeneity of different economic variables at different levels of aggregation (for instance, by region, firm size or sector). This paper seeks, first, to evaluate the representativeness of the Banco de España’s Integrated Central Balance Sheet Database (Integrated CBSO database or CBI by its Spanish initials) for conducting regional analysis with firm-level data and, second, to analyse the differences in firm size distribution
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Skone, Timothy J. Variable Size Wind Farm, Operation. Office of Scientific and Technical Information (OSTI), 2010. http://dx.doi.org/10.2172/1509463.

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Kim, Changmo, Ghazan Khan, Brent Nguyen, and Emily L. Hoang. Development of a Statistical Model to Predict Materials’ Unit Prices for Future Maintenance and Rehabilitation in Highway Life Cycle Cost Analysis. Mineta Transportation Institute, 2020. http://dx.doi.org/10.31979/mti.2020.1806.

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The main objectives of this study are to investigate the trends in primary pavement materials’ unit price over time and to develop statistical models and guidelines for using predictive unit prices of pavement materials instead of uniform unit prices in life cycle cost analysis (LCCA) for future maintenance and rehabilitation (M&amp;R) projects. Various socio-economic data were collected for the past 20 years (1997–2018) in California, including oil price, population, government expenditure in transportation, vehicle registration, and other key variables, in order to identify factors affecting
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Uechi, Luis, and José A. Barbero. Assessment of Transport Data Availability and Quality in Latin America. Inter-American Development Bank, 2012. http://dx.doi.org/10.18235/0010453.

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The report is part of an initiative to map the transport data currently available within selected developing countries, looking to evaluate availability and quality of transport-related data in general, and particularly for information gaps affecting estimation of Greenhouse Gas emissions. The assessment of transport data availability and quality is performed by comparing the input information needed to run a transport model that identifies the major drivers for transport activity and emissions. The database requested includes typical transport information like fleet size and composition, pass
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Axenrot, Thomas, Erik Degerman, and Anders Asp. Seasonal variation in thermal habitat volume for cold-water fish populations : implications for hydroacoustic survey design and stock assessment. Department of Aquatic Resources, Swedish University of Agricultural Sciences, 2023. http://dx.doi.org/10.54612/a.5i05rb1iu1.

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For accurate stock assessment, survey design must consider fish behavior and ecology. Yearlings and older individuals of the commercially exploited cold-water species vendace (Coregonus albula) are found below the metalimnion through periods of thermal stratification. These stratification periods generally last for 3-4 months, from the middle of summer to early autumn. In lakes with heterogeneous distribution of depths, the habitat volume for vendace vary drastically within and across years, which affects the distribution and population densities. Variable thermal habitat volumes, with food an
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Kimhi, Ayal, Barry Goodwin, Ashok Mishra, Avner Ahituv, and Yoav Kislev. The dynamics of off-farm employment, farm size, and farm structure. United States Department of Agriculture, 2006. http://dx.doi.org/10.32747/2006.7695877.bard.

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Objectives: (1) Preparing panel data sets for both the United States and Israel that contain a rich set of farm attributes, such as size, specialization, and output composition, and farmers’ characteristics such as off-farm employment status, education, and family composition. (2) Developing an empirical framework for the joint analysis of all the endogenous variables of interest in a dynamic setting. (3) Estimating simultaneous equations of the endogenous variables using the panel data sets from both countries. (4) Analyzing, using the empirical results, the possible effects of economic polic
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Nelson, Gena, Hannah Carter, and Peter Boedeker. Early Math Interventions in Informal Learning Settings Coding Protocol. Boise State University, Albertsons Library, 2021. http://dx.doi.org/10.18122/sped141.boisestate.

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The purpose of document is to provide readers with the coding protocol that authors used to code experimental and quasi-experimental early mathematics intervention studies conducted in informal learning environments. The studies were conducted in homes and in museums with caregivers as intervention agents and included children between the ages of 3,0 and 8,11 years. The coding protocol includes more than 200 variables related to basic study information, participant sample size and demographics, methodological information, intervention information, mathematics content information, the control/c
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Ericson, Thomas, and Glenn Sjöstrand. Skills shortages and employers’ HRM strategies and practices towards older workers. Department of Economics and Statistics, Linnaeus University, 2024. https://doi.org/10.15626/ns.wp.2024.15.

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The existence of skills shortages in labour markets is a widespread phenomenon observed in various economies and employment sectors. This study explores the relationship between companies' skills shortages and their HR policies and practices targeting older workers, which constitute a part of their overall age management strategy. The study addresses the following key questions: How do skills shortages affect personnel policies and practices for older workers? What are the plausible explanations for the presence or absence of a dependency between skills shortages and HRM strategies tailored fo
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Aboal, Diego, and Paula Garda. Technological and Nontechnological Innovation and Productivity in Services vis a vis Manufacturing in Uruguay. Inter-American Development Bank, 2012. http://dx.doi.org/10.18235/0006944.

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In this paper, the links between the investment in innovation activities, innovation outputs (technological and non-technological innovation), and productivity in services and manufacturing are explored using innovation survey data from Uruguay. This is the first attempt to study these links for a developing country. The size of firms, their cooperation on R&amp;D activities, the use of public financial support, patent protection, and the use of market sources of information, are the variables that are more consistently associated with the decision to invest in innovation activities across sec
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Bernard, David Rhys, Gharad Bryan, Sylvain Chabé-Ferret, Jon de Quidt, Jasmin Claire Fliegner, and Roland Rathelot. How Biased are Observational Methods in Practice? Accumulating Evidence Using Randomised Controlled Trials with Imperfect Compliance. Centre for Excellence and Development Impact and Learning (CEDIL), 2023. http://dx.doi.org/10.51744/crpp9.

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Consider a policy maker choosing between programs of unknown impact. She can inform her decision using observational methods, or by running a randomised controlled trial (RCT). The proponents of RCTs would argue that observational approaches suffer from bias of an unknown size and direction, and so are uninformative. Our study treats this as an empirical claim that can be studied. By doing so we hope to increase the value of observational data and studies, as well as better inform the choice to undertake RCTs. We propose a large-scale, standardised, hands-off approach to assessing the performa
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