Biometrical Letters最新文献_第6页

Comparison of some correlation measures for continuous and categorical data 连续数据和分类数据的相关度量比较

Biometrical Letters Pub Date : 2019-12-01 DOI: 10.2478/bile-2019-0015

E. Skotarczak, A. Dobek, K. Moliński

{"title":"Comparison of some correlation measures for continuous and categorical data","authors":"E. Skotarczak, A. Dobek, K. Moliński","doi":"10.2478/bile-2019-0015","DOIUrl":"https://doi.org/10.2478/bile-2019-0015","url":null,"abstract":"Summary In the literature there can be found a wide collection of correlation and association coefficients used for different structures of data. Generally, some of the correlation coefficients are conventionally used for continuous data and others for categorical or ordinal observations. The aim of this paper is to verify the performance of various approaches to correlation coefficient estimation for several types of observations. Both simulated and real data were analysed. For continuous variables, Pearson’s r2 and MIC were determined, whereas for categorized data three approaches were compared: Cramér’s V, Joe’s estimator, and the regression-based estimator. Two method of discretization for continuous data were used. The following conclusions were drawn: the regression-based approach yielded the best results for data with the highest assumed r2 coefficient, whereas Joe’s estimator was the better approximation of true correlation when the assumed r2 was small; and the MIC estimator detected the maximal level of dependency for data having a quadratic relation. Moreover, the discretization method applied to data with a non-linear dependency can cause loss of dependency information. The calculations were supported by the R packages arules and minerva.","PeriodicalId":8933,"journal":{"name":"Biometrical Letters","volume":"1 1","pages":"253 - 261"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73343226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Mathematical Modeling of the Coinfection Dynamics of Malaria-Toxoplasmosis in the Tropics 热带地区疟疾-弓形虫共感染动力学的数学建模

Biometrical Letters Pub Date : 2019-12-01 DOI: 10.2478/bile-2019-0013

O. Ogunmiloro

引用次数: 12

The effect of soil and weather conditions on yields of winter wheat in multi-environmental trials 土壤和气候条件对冬小麦产量的影响

Biometrical Letters Pub Date : 2019-12-01 DOI: 10.2478/bile-2019-0016

M. Iwańska, M. Stępień

{"title":"The effect of soil and weather conditions on yields of winter wheat in multi-environmental trials","authors":"M. Iwańska, M. Stępień","doi":"10.2478/bile-2019-0016","DOIUrl":"https://doi.org/10.2478/bile-2019-0016","url":null,"abstract":"Summary Drought reduces crop yields not only in areas of arid climate. The impact of droughts depends on the crop growth stage and soil properties. The frequency of droughts will increase due to climate change. It is important to determine the environmental variables that have the strongest effect on wheat yields in dry years. The effect of soil and weather on wheat yield was evaluated in 2018, which was considered a very dry year in Europe. The winter wheat yield data from 19 trial locations of the Research Center of Cultivar Testing (COBORU), Poland, were used. Soil data from the trial locations, mean air temperature (T) and precipitation (P) were considered as environmental factors, as well as the climatic water balance (CWB). The hydrothermal coefficient (HTC), which is based on P and T, was also used. The effect of these factors on winter wheat yield was related to the weather conditions at particular growth stages. The soil had a greater effect than the weather conditions. CWB, P, T and HTC showed a clear relationship with winter wheat yield. Soil data and HTC are the factors most recommended for models predicting crop yields. In the selection of drought-tolerant genotypes, the plants should be subjected to stress especially during the heading and grain filling growth stages.","PeriodicalId":8933,"journal":{"name":"Biometrical Letters","volume":"1 1","pages":"263 - 279"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87795314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

On modeling and analyzing barley malt data in different years 不同年份大麦芽数据的建模与分析

Biometrical Letters Pub Date : 2019-06-01 DOI: 10.2478/bile-2019-0004

I. Mejza, K. Ambroży-Deręgowska, J. Bocianowski, J. Błażewicz, M. Liszewski, K. Nowosad, D. Zalewski

引用次数: 0

Effective dose of ionic liquids with glyphosate 离子液体与草甘膦的有效剂量

Biometrical Letters Pub Date : 2019-06-01 DOI: 10.2478/bile-2019-0009

Katarzyna Marcinkowska, A. Łacka

引用次数: 1

A simple solution to the specification error 规范错误的简单解决方案

Biometrical Letters Pub Date : 2019-06-01 DOI: 10.2478/bile-2019-0002

Moawia Alghalith