{"title":"模型开发中数据转换的统计分析方法","authors":"J. Diah, J. Ahmad, Mazidah Mukri","doi":"10.5923/J.STATISTICS.20120206.01","DOIUrl":null,"url":null,"abstract":"Generally, the main idea of this paper is attempt to give some idea for the researchers with different fields who want to make their own model based on the multiple regression of data transformation model. There is always being problems for researchers who want to perform their significant statistic analysis with different type of model equation (e.g. by using exponential, square root and etc.). Consequently, by following the steps of statistical methodology that given in this paper, the researcher should be able to create the calibration and validation model for their research purposed. Hence, the model developed can be use with sensitivity analysis with the appropriate variables that had been selected. Finally the chart, concept or theory can be further developed based on final multiple regression of data transformation model.","PeriodicalId":91518,"journal":{"name":"International journal of statistics and applications","volume":"35 1","pages":"94-100"},"PeriodicalIF":0.0000,"publicationDate":"2013-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"The Methodology on Statistical Analysis of Data Transformation for Model Development\",\"authors\":\"J. Diah, J. Ahmad, Mazidah Mukri\",\"doi\":\"10.5923/J.STATISTICS.20120206.01\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Generally, the main idea of this paper is attempt to give some idea for the researchers with different fields who want to make their own model based on the multiple regression of data transformation model. There is always being problems for researchers who want to perform their significant statistic analysis with different type of model equation (e.g. by using exponential, square root and etc.). Consequently, by following the steps of statistical methodology that given in this paper, the researcher should be able to create the calibration and validation model for their research purposed. Hence, the model developed can be use with sensitivity analysis with the appropriate variables that had been selected. Finally the chart, concept or theory can be further developed based on final multiple regression of data transformation model.\",\"PeriodicalId\":91518,\"journal\":{\"name\":\"International journal of statistics and applications\",\"volume\":\"35 1\",\"pages\":\"94-100\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-01-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of statistics and applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5923/J.STATISTICS.20120206.01\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of statistics and applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5923/J.STATISTICS.20120206.01","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Methodology on Statistical Analysis of Data Transformation for Model Development
Generally, the main idea of this paper is attempt to give some idea for the researchers with different fields who want to make their own model based on the multiple regression of data transformation model. There is always being problems for researchers who want to perform their significant statistic analysis with different type of model equation (e.g. by using exponential, square root and etc.). Consequently, by following the steps of statistical methodology that given in this paper, the researcher should be able to create the calibration and validation model for their research purposed. Hence, the model developed can be use with sensitivity analysis with the appropriate variables that had been selected. Finally the chart, concept or theory can be further developed based on final multiple regression of data transformation model.