| Normal-power generalized linear model for use in modified univariate normal power distribution, has scope for covering different characterizations, properties, regression model, and parameter estimation of NPLD model, and model selected as alternative | |
| 2023-10-16 | |
| 专利权人 | BHARATH HIGHER EDUCATION & RES INST (BHAR-Non-standard) |
| 申请日期 | 2023-10-16 |
| 专利号 | IN202341069881-A |
| 成果简介 | NOVELTY - The model provides extension of a normal linear model to call a normal-power generalized linear model and derive from a T-power logistics framework. A scope covers different characterizations, properties, regression model, and parameter estimation of a NPLD model, where process of maximum likelihood estimation (MLE) is performed to estimate model parameters. The model is selected as alternative, where skewed or bimodal response variables are generated to well fit with normal linear models. A proposed model is constructed in construction, medicine, and fled of 26 Journal of the indian society for probability and statistics 24:23-54 1 3 life, where the dependent variable of interest to be predicted has bi modal features. USE - Normal-power generalized linear model for use in modified univariate normal power distribution. ADVANTAGE - The model effectively solves real regression problems, where the dependent variables are bimodal and skewed with a known maximum value. The model performs well when normal distribution fails to ft the data of interest. |
| IPC 分类号 | G06F-011/36 ; G06F-017/18 ; G06N-020/00 ; G06Q-010/06 ; G16B-025/00 |
| 国家 | 印度 |
| 专业领域 | 信息技术 |
| 语种 | 英语 |
| 成果类型 | 专利 |
| 文献类型 | 科技成果 |
| 条目标识符 | http://119.78.100.226:8889/handle/3KE4DYBR/19622 |
| 专题 | 中国科学院新疆生态与地理研究所 |
| 作者单位 | BHARATH HIGHER EDUCATION & RES INST (BHAR-Non-standard) |
| 推荐引用方式 GB/T 7714 | RAMACHANDRAN V,CHIDAMBARAM K,NAVEENCHANDRAN P,et al. Normal-power generalized linear model for use in modified univariate normal power distribution, has scope for covering different characterizations, properties, regression model, and parameter estimation of NPLD model, and model selected as alternative. IN202341069881-A[P]. 2023. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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