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    • 1. 发明申请
    • SYSTEMS AND METHODS FOR PERFORMING DESIGN OF EXPERIMENTS
    • 用于实施实验设计的系统和方法
    • US20120079379A1
    • 2012-03-29
    • US12893881
    • 2010-09-29
    • William M. HathawaySmita Kulkarni Skrivanek
    • William M. HathawaySmita Kulkarni Skrivanek
    • G06F3/048
    • G06Q10/06G06Q10/10
    • A method of automatically designing a plurality of experiments for analyzing at least one data set from a process to determine a relationship of a plurality of process factors of interest to a process output of interest. The method uses a computer to elicit input from a user to determine at least one characteristic of the data set including a quantity of the plurality of factors and whether one or more of the plurality of factors has greater than two levels, selects a design from a plurality of experiment designs based on established conventions for each of the plurality of experiment designs, the design applicable to the elicited at least one characteristic of the data set, and provides a design of experiments including a standard order of the experiments and a run order of the experiments, the design of experiments indicating the combinations of factors and levels for each experiment.
    • 一种自动设计用于从过程分析至少一个数据集的多个实验以确定感兴趣的多个过程因子与感兴趣的过程输出的关系的方法。 该方法使用计算机来引出来自用户的输入来确定包括多个因素的数量的数据集的至少一个特性,以及多个因素中的一个或多个是否具有大于两个级别,从 基于针对多个实验设计中的每一个的已建立的惯例的多个实验设计,该设计适用于引发数据集的至少一个特征,并提供包括实验的标准顺序和实验的运行顺序的实验设计 实验中,实验的设计表明每个实验的因子和水平的组合。
    • 2. 发明申请
    • SYSTEMS AND METHODS FOR PRESENTING RESULTS OF EXPERIMENTS
    • 提供实验结果的系统和方法
    • US20120075322A1
    • 2012-03-29
    • US12893884
    • 2010-09-29
    • William M. HathawaySmita Kulkarni Skrivanek
    • William M. HathawaySmita Kulkarni Skrivanek
    • G06F7/60G06T11/20
    • G06T11/206
    • A method of automatically analyzing data from at least one data set including a plurality of process factors of interest and a process output of interest to determine the relationship between the factors of interest and the output of interest at a given significance level and preserving model hierarchy. The method uses a computer to carry out the steps of calculating the effects of the factors of interest against the process output of interest, developing a model including the significant factors of interest and respective estimated coefficients and omitting the insignificant factors of interest, generating a representation of the model, and generating at least one graphical representation of the factors of interest. The graphical representation provides a first representation corresponding to factors of interest identified as significant and a second representation corresponding to factors of interest identified as insignificant. Calculating the effects includes calculating at least one of an analysis of variance test testing the significance of the individual effect of each factor of interest, coefficients and effect estimates for each factor of interest, and model comparison statistics, and identifying the factors of interest having significant effects relative to the given significance level and model hierarchy.
    • 一种自动分析来自至少一个数据集的数据的方法,所述数据集包括感兴趣的多个过程因子和感兴趣的过程输出,以在给定的重要性水平上确定感兴趣的因素和感兴趣的输出之间的关系并保持模型层次。 该方法使用计算机来执行计算感兴趣因素对感兴趣的过程产出的影响的步骤,开发包括有意义的因素和各自的估计系数的模型,并省略不重要的感兴趣因素,产生表示 并且生成感兴趣因素的至少一个图形表示。 图形表示提供对应于被识别为重要的兴趣因素的第一表示,以及对应于被识别为不重要的兴趣因素的第二表示。 计算效果包括计算方差检验测试分析中的至少一项,每个感兴趣因素的个体效应的显着性,每个感兴趣因素的系数和效应估计以及模型比较统计,以及确定感兴趣的因素具有显着性 相对于给定的显着性水平和模型层次的影响。
    • 3. 发明授权
    • Systems and methods for presenting results of experiments
    • 用于呈现实验结果的系统和方法
    • US09007375B2
    • 2015-04-14
    • US12893884
    • 2010-09-29
    • William M. HathawaySmita Kulkarni Skrivanek
    • William M. HathawaySmita Kulkarni Skrivanek
    • G06T11/20
    • G06T11/206
    • A method of automatically analyzing data from at least one data set including a plurality of process factors of interest and a process output of interest to determine the relationship between the factors of interest and the output of interest at a given significance level and preserving model hierarchy. The method includes the steps of calculating the effects of the factors of interest against the process output of interest, developing a model including the significant factors of interest and respective estimated coefficients and omitting the insignificant factors of interest, generating a representation of the model, and generating at least one graphical representation of the factors of interest.
    • 一种自动分析来自至少一个数据集的数据的方法,所述数据集包括感兴趣的多个过程因子和感兴趣的过程输出,以在给定的重要性水平上确定感兴趣的因素和感兴趣的输出之间的关系并保持模型层次。 该方法包括以下步骤:计算利益相关因素对感兴趣过程产出的影响,制定包括有意义的因素和各自的估计系数的模型,并省略不重要的感兴趣因素,产生模型的表示,以及 生成感兴趣的因素的至少一个图形表示。
    • 4. 发明授权
    • Systems and methods for performing design of experiments
    • 执行实验设计的系统和方法
    • US08612366B2
    • 2013-12-17
    • US12893881
    • 2010-09-29
    • William M. HathawaySmita Kulkarni Skrivanek
    • William M. HathawaySmita Kulkarni Skrivanek
    • G06F15/18
    • G06Q10/06G06Q10/10
    • A method of automatically designing a plurality of experiments for analyzing at least one data set from a process to determine a relationship of a plurality of process factors of interest to a process output of interest. The method uses a computer to elicit input from a user to determine at least one characteristic of the data set including a quantity of the plurality of factors and whether one or more of the plurality of factors has greater than two levels, selects a design from a plurality of experiment designs based on established conventions for each of the plurality of experiment designs, the design applicable to the elicited at least one characteristic of the data set, and provides a design of experiments including a standard order of the experiments and a run order of the experiments, the design of experiments indicating the combinations of factors and levels for each experiment.
    • 一种自动设计用于从过程分析至少一个数据集的多个实验以确定感兴趣的多个过程因子与感兴趣的过程输出的关系的方法。 该方法使用计算机来引出来自用户的输入来确定包括多个因素的数量的数据集的至少一个特性,以及多个因素中的一个或多个是否具有大于两个级别,从 基于针对多个实验设计中的每一个的已建立的惯例的多个实验设计,该设计适用于引发数据集的至少一个特征,并提供包括实验的标准顺序和实验的运行顺序的实验设计 实验中,实验的设计表明每个实验的因子和水平的组合。