Condition Assessment of Historic House Collections: Testing Different Statistical Methods at the Chateau de Versailles

被引:3
|
作者
Forleo, Danilo [1 ]
Francaviglia, Nadia [1 ]
机构
[1] Etab Publ Chateau Versailles, Versailles, France
关键词
Conservation assessment; statistics; historic houses;
D O I
10.1080/00393630.2018.1504519
中图分类号
K85 [文物考古];
学科分类号
0601 ;
摘要
One of the aims of the European Protocol in Preventive Conservation (EPICO) research programme was to implement a simple and flexible assessment method applicable to the majority of historic houses. We present results to verify statistical methods for the application in the assessment of heterogeneous in collections historic houses. For a collection with less than five hundred objects, a complete inventory by two people is possible, in order to collect information about the objects and their condition. A sample is representative when it has the same characteristics as the population studied. In the case of a very small population it is difficult to obtain representative results: here the sample should be almost equal to the total population. Therefore significant work must be done prior to assessment to properly identify the characteristics of the mother population. In the absence of sufficient representativeness, the results obtained from a sample cannot be generalized to the population being studied.
引用
收藏
页码:76 / 80
页数:5
相关论文
共 32 条
  • [21] Condition assessment of different historic bridges using Non Destructive Techniques (NDT) with FTIR analysis in Izmir after the Samos Island earthquake
    Gokhan Kilic
    Heritage Science, 10
  • [22] Condition Assessment of a Reinforced Concrete Residential Building using Non-destructive Testing Methods - A Case Study
    Rath, Manoj Kumar
    ELECTRONIC JOURNAL OF STRUCTURAL ENGINEERING, 2021, 21 (01): : 19 - 33
  • [23] Harvesting time, field condition, and statistical analysis methods may affect food safety assessment of genetically modified peppers
    Basnet, Sunita
    Ahn, Hyoung-Gyun
    Sung, Min-Seok
    Chung, Kyu-Hwan
    Cho, Dong-Wook
    Lee, Young-Sang
    Ryu, Ki-Hyun
    HORTSCIENCE, 2008, 43 (04) : 1247 - 1248
  • [24] Testing methods and statistical models of genomic prediction for quantitative disease resistance to Phytophthora sojae in soybean [Glycine max (L.) Merr] germplasm collections
    William R. Rolling
    Anne E. Dorrance
    Leah K. McHale
    Theoretical and Applied Genetics, 2020, 133 : 3441 - 3454
  • [25] Testing methods and statistical models of genomic prediction for quantitative disease resistance toPhytophthora sojaein soybean [Glycine max(L.) Merr] germplasm collections
    Rolling, William R.
    Dorrance, Anne E.
    McHale, Leah K.
    THEORETICAL AND APPLIED GENETICS, 2020, 133 (12) : 3441 - 3454
  • [26] The effects of rater bias on hypothesis testing when using different assessment methods to estimate disease severity
    Chiang, K. S. P.
    Bock, C. H.
    Jarroudi, M. E.
    Delfosse, P.
    Lee, I. H.
    Liu, H. I.
    PHYTOPATHOLOGY, 2014, 104 (11) : 26 - 26
  • [27] Blood alcohol testing: comparison of the performance obtained with the different methods used in the Belgian external quality assessment schemes
    Devleeschouwer, N
    Libeer, JC
    Martens, FK
    Neels, H
    Van Damme, M
    Verstraete, A
    Deveaux, M
    Wallemacq, PE
    CLINICAL CHEMISTRY AND LABORATORY MEDICINE, 2004, 42 (01) : 57 - 61
  • [28] Testing the reliability and stability of the internal accuracy assessment of random forest for classifying tree defoliation levels using different validation methods
    Adelabu, Samuel
    Mutanga, Onisimo
    Adam, Elhadi
    GEOCARTO INTERNATIONAL, 2015, 30 (07) : 810 - 821
  • [29] Assessment of water quality and identification of priority areas for intervention in Guanabara Bay basin, Rio de Janeiro, Brazil, using nonparametric and multivariate statistical methods
    da Silva, Dayane Andrade
    Fraga, Micael de Souz
    Lyra, Gustavo Bastos
    Cecilio, Roberto Avelino
    Pereira, Carlos Rodrigues
    Cunha-Zeri, Gisleine
    Zeri, Marcelo
    Abreu, Marcel Carvalho
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2024, 196 (10)
  • [30] Field Analysis of three different silicon-based Technologies in Composite Climate Condition - Part II - Seasonal assessment and performance degradation rates using statistical tools
    Singh, Rashmi
    Sharma, Madhu
    Rawat, Rahul
    Banerjee, Chandan
    RENEWABLE ENERGY, 2020, 147 (147) : 2102 - 2117