Search Results - "BILLARD, L"

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  1. 1

    Partition of Interval-Valued Observations Using Regression by Liu, Fei, Billard, L.

    Published in Journal of classification (01-03-2022)
    “…Both regression modeling and clustering methodologies have been extensively studied as separate techniques. There has been some activity in using…”
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  2. 2

    Partition of variation for predicting experimental power with a broiler chicken example by Pesti, G.M., Billard, L., Wu, S.-B., Morgan, N.K., Taylor, P.S., de las Heras-Saldana, S.

    Published in Poultry science (01-07-2023)
    “…A 1932 editorial in Poultry Science stated that sampling theory, or experimental power, could be useful for “the investigator to know how many … birds to put…”
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  3. 3

    comparison of methods to estimate nutritional requirements from experimental data by Pesti, G.M, Vedenov, D, Cason, J.A, Billard, L

    Published in British poultry science (2009)
    “…1. Research papers use a variety of methods for evaluating experiments designed to determine nutritional requirements of poultry. Growth trials result in a set…”
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  4. 4
  5. 5

    Hierarchical clustering for histogram data by Billard, L., Kim, Jaejik

    “…Clustering methods for classical data are well established, though the associated algorithms primarily focus on partitioning methods and agglomerative…”
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  6. 6

    Study of Salary Differentials by Gender and Discipline by Billard, L.

    “…Although it is 45 years since legislation made gender discrimination on university campuses illegal, salary inequities continue to exist today. The seminal…”
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  7. 7

    Principal component analysis for histogram-valued data by Le-Rademacher, J., Billard, L.

    “…This paper introduces a principal component methodology for analysing histogram-valued data under the symbolic data domain. Currently, no comparable method…”
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  8. 8

    From the Statistics of Data to the Statistics of Knowledge: Symbolic Data Analysis by Billard, L, Diday, E

    “…Increasingly, datasets are so large they must be summarized in some fashion so that the resulting summary dataset is of a more manageable size, while still…”
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  9. 9

    Dissimilarity measures and divisive clustering for symbolic multimodal-valued data by Kim, Jaejik, Billard, L.

    Published in Computational statistics & data analysis (01-09-2012)
    “…Nowadays, most government agencies and local authorities regularly and routinely collect a large amount of data from censuses and surveys and officially…”
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  10. 10

    A polythetic clustering process and cluster validity indexes for histogram-valued objects by Kim, Jaejik, Billard, L.

    Published in Computational statistics & data analysis (01-07-2011)
    “…Clustering is an explanatory procedure which helps to understand data with complex structure and multivariate relationships, and is a very useful method to…”
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  11. 11

    Dissimilarity Measures for Histogram-valued Observations by Kim, Jaejik, Billard, L.

    “…Contemporary datasets can be immense and complex in nature. Thus, summarizing and extracting information frequently precedes any analysis. The summarizing…”
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  12. 12

    Choosing sample sizes for various blood parameters of broiler chickens with normal and non-normal observations by Nunes, R V, Broch, J, Wachholz, L, de Souza, C, Damasceno, J L, Oxford, J H, Bloxham, D J, Billard, L, Pesti, G M

    Published in Poultry science (01-10-2018)
    “…Abstract Experimental power is a measure of the ability of an experiment to detect differences between treatment means. Researchers design experiments and then…”
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  13. 13

    Unmasking of epigenetically silenced candidate tumor suppressor genes by removal of methyl-CpG-binding domain proteins by Lopez-Serra, L, Ballestar, E, Ropero, S, Setien, F, Billard, L-M, Fraga, M F, Lopez-Nieva, P, Alaminos, M, Guerrero, D, Dante, R, Esteller, M

    Published in Oncogene (05-06-2008)
    “…Methyl-cytosine-phosphate-guanine (CpG)-binding domain (MBD) proteins are bound to hypermethylated promoter CpG islands of tumor suppressor genes in human…”
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  14. 14

    Effects of balanced dietary protein levels on egg production and egg quality parameters of individual commercial layers by Shim, M Y, Song, E, Billard, L, Aggrey, S E, Pesti, G M, Sodsee, P

    Published in Poultry science (01-10-2013)
    “…The effects of a series of balanced dietary protein levels on egg production and egg quality parameters of laying hens from 18 through 74 wk of age were…”
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  15. 15

    Canonical correlation for principal components of time series by Samadi, S. Yaser, Billard, L., Meshkani, M. R., Khodadadi, A.

    Published in Computational statistics (01-09-2017)
    “…With contemporary data collection capacity, data sets containing large numbers of different multivariate time series relating to a common entity (e.g., fMRI,…”
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  16. 16

    Likelihood functions and some maximum likelihood estimators for symbolic data by Le-Rademacher, J., Billard, L.

    “…Likelihood functions are the foundation of many statistical methodologies in classical data analysis. Likelihood functions for symbolic data must be introduced…”
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  17. 17

    A multi-stage compartmental model for HIV-infected individuals: I – Waiting time approach by Billard, L., Dayananda, P.W.A.

    Published in Mathematical biosciences (01-03-2014)
    “…Traditionally, epidemic processes have focused on establishing systems of differential-difference equations governing the number of individuals at each stage…”
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  18. 18

    Principal component histograms from interval-valued observations by Le-Rademacher, J., Billard, L.

    Published in Computational statistics (01-10-2013)
    “…The focus of this paper is to propose an approach to construct histogram values for the principal components of interval-valued observations. Le-Rademacher and…”
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  19. 19

    Copula analysis of mixture models by Vrac, M., Billard, L., Diday, E., Chédin, A.

    Published in Computational statistics (01-09-2012)
    “…Contemporary computers collect databases that can be too large for classical methods to handle. The present work takes data whose observations are distribution…”
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  20. 20

    A multi-stage compartmental model for HIV-infected individuals: II – Application to insurance functions and health-care costs by Billard, L., Dayananda, P.W.A.

    Published in Mathematical biosciences (01-03-2014)
    “…•Multi-stage waiting time models for HIV/AIDS individuals.•Impact on insurance premiums.•Impact on life annuity policies.•Health-care costs. Stochastic…”
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