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  • One-Way ANOVA Analysis of Variance Procedure Duncan's Multiple Range Test for variable: YIELD NOTE: This test controls the t...

                     One-Way ANOVA

     

                           Analysis of Variance Procedure

     

                  Duncan's Multiple Range Test for variable: YIELD

     

            NOTE: This test controls the type I comparisonwise error rate, not

                  the experimentwise error rate

     

                         Alpha= 0.05  df= 8  MSE= 0.004117

     

                         Number of Means     2     3     4

                         Critical Range  .1208 .1259 .1287

     

            Means with the same letter are not significantly different.

     

                   Duncan Grouping              Mean      N  DATE

     

                                 A           0.37000      3  1

     

                                 B           0.19667      3  2

                                 B

                         C       B           0.12667      3  3

                         C

                         C                   0.03000      3  4

    对于方差分析表中各项内容的含义,在“SAS程序及释义”部分已经做了详细解释,这里不再重复。如果有不明白的地方,请复习“SAS程序及释义”的相关内容。

    SAS分析结果指出,不同播种期其产量差异极显著。多重比较表明,23间差异不显著,34间差异不显著,1和其他各组间差异都显著。以上结果可以归纳成下表。

    变差来源

    平方和

    自由度

    均方

    F

    P

    播期间

    0.185 158 33

    3

    0.061 719 44

    14.99

    0.001 2

    重复间

    0.032 933 33

    8

    0.004 116 67

     

     

     

    0.218 091 67

    11

     

     

     

     

                多重比较:

    1

    2

    3

    4

     

     

     

     

     

     

     

     

    展开全文
  • 2、变型(variance):类或特质的类型参数可以用变型标注{Scala中协变(+)、逆变(-)、上界(<:)、下界(>:) 简单介绍) 看源码的时候看到: trait ExtensionId[T <: Extension] { 没见过这个符号啊<: 1...

    1、生成(yield):表达式可以生成结果。yield关键字标示了for表达式的结果。

    2、变型(variance):类或特质的类型参数可以用变型标注{Scala中协变(+)、逆变(-)、上界(<:)、下界(>:) 简单介绍

    看源码的时候看到:

    trait ExtensionId[T <: Extension] {
    
    没见过这个符号啊<:

    1) U >: T

    这是类型下界的定义,也就是U必须是类型T的父类(或本身,自己也可以认为是自己的父类)。

    2) S <: T

    这是类型上界的定义,也就是S必须是类型T的子类(或本身,自己也可以认为是自己的子类)。

    然后scala中的泛型符号是[T],而不是Java中的<T>.

    tarit Person[+T]{} --协变,在这种情况下,假设S类型是A类型的子类,则Person[S]类型可泛化成Person[T]的子类,也就是被参数化类型的泛化方向与参数类型的方向是一致的,所以称为协变。 

    tarit Person[-T]{}  --逆变,这种情况下,当类型S是类型A的子类型,则Person[A]反过来可以认为是Person[S]的子类型。也就是被参数化类型的泛化方向与参数类型的方向是相反的,所以称为逆变

    3、变量(variable):指向对象的具名实体,变量要么是val,要么是var。它们必须在定义的时候被初始化,但只有var可以在之后重新赋值以指向不同的对象。

    4、值类型(value type):值类型是指AnyVal的任意子类,如Int、Double或Unit。这个术语在scala源代码级别有意义,在运行时相应java原始类型实例,如java.lang.Integer在值类型实例的整个生命周期中,运行时,可能会把它们的原始类型和包装类型之间前后转换。

    5、值(value).任何计算或表达式的结果在scala里都有值,并且,scala里的所有值都是对象,值这个术语在本质上是指对象在内存中镜像。

    6、代数数据类型:通过提供若干含有独立构造器的备选项定义的类型。通常可以辅助于通过模式匹配解构类型的方式。这个概念可以在规约语言和函数式编程语言中发现。代数类型在scala可以及用样本类(case classs)模拟。

    7、备选项(alternative).match 表达式的分支,形式为 case pattern=>expression 备选项的别名是样本 case 

    8、注解(annoation)。注解出现在源代码中,并被附加在某个语法部分上。注解可以用计算机处理,所以你可以用它们有效地添加scala的扩展。

    9、匿名类(anonymous class).匿名类是由scala编译器通过类或特质trait 跟花括号内new表达式生成合成子类。花括号包含了匿名子类的类结构类。可惟为空,然而,如果new后面的名称指向的特质或类包含了抽象成员。

     

     

     

     

    展开全文
  • <div><p>The divide ... which was modified to allow a variance of ~1 ULP, but which should in theory yield the same result for the two cases.</p><p>该提问来源于开源项目:dotnet/runtime</p></div>
  • The differences start at the third digit after decimal and yield ~0.1mm variance in the specific area of interest. While this is insignificant with respect to the expected accuracy of the ...
  • Duncan多重比较结果解释

    千次阅读 2012-08-28 21:51:29
    One-Way ANOVA     Analysis of Variance Procedure     Duncan's Multiple Range Test for variable: YIELD     NOTE: This test contro...
        

                     One-Way ANOVA

     

                           Analysis of Variance Procedure

     

                  Duncan's Multiple Range Test for variable: YIELD

     

            NOTE: This test controls the type I comparisonwise error rate, not

                  the experimentwise error rate

     

                         Alpha= 0.05  df= 8  MSE= 0.004117

     

                         Number of Means     2     3     4

                         Critical Range  .1208 .1259 .1287

     

            Means with the same letter are not significantly different.

     

                   Duncan Grouping              Mean      N  DATE

     

                                 A           0.37000      3  1

     

                                 B           0.19667      3  2

                                 B

                         C       B           0.12667      3  3

                         C

                         C                   0.03000      3  4

    对于方差分析表中各项内容的含义,在“SAS程序及释义”部分已经做了详细解释,这里不再重复。如果有不明白的地方,请复习“SAS程序及释义”的相关内容。

    SAS分析结果指出,不同播种期其产量差异极显著。多重比较表明,23间差异不显著,34间差异不显著,1和其他各组间差异都显著。以上结果可以归纳成下表。

    变差来源

    平方和

    自由度

    均方

    F

    P

    播期间

    0.185 158 33

    3

    0.061 719 44

    14.99

    0.001 2

    重复间

    0.032 933 33

    8

    0.004 116 67

     

     

     

    0.218 091 67

    11

     

     

     

     

                多重比较:

    1

    2

    3

    4

     

     

     

     

     

     

     

     

    展开全文
  • Expected behaviour is to yield correct output independent of the geometry of the pair (like <code>evaluation</code> in IRTK) or to abort with an error if the images have unequal geometry. <pre><code>...
  • <p>However, the sum over the squares of the <em>fractional</em> weights is <strong>smaller</strong> than unity - so successive rebinning from one grid to the other would yield progressively smaller ...
  • 94 yield slices[i] /usr/lib/python3.5/random.py in shuffle(self, x, random) 270 # pick an element in x[:i+1] with which to exchange x[i] 271 j = randbelow(i+1) --> 272 x[i], x[j] &...
  • paper, where they report using EoT to successfully attack a classifier that uses a Total Variance Minimization preprocessing defence. <p>Is there an example in the docs somewhere of using the EoT ...
  • Using single sample snapshots for both the current run and the thresholds I think would yield an unbiased criterion with high variance. Alternately using the same aggregation for both could also ...
  • <p><code>mypy</code> seems to yield errors irrelevant to this PR. <pre><code>bash deepchem/utils/fragment_utils.py:194: error: Need type annotation for 'all_atoms' (hint: "all_atoms: List...
  • ConTest [15] is a lightweight testing tool that attempts to create scheduling variance without resorting to systematic generation of all executions. In contrast, CHESS obtains greater control over ...
  • This would be more involved, would yield better results but would be slower. Another direction to consider would be cohort-level brain mapping https://hal.inria.fr/hal-00841502, which may integrate ...
  • tmux would yield one set of colors but the colors would change without tmux in the middle. If I keep tweaking colors, it'd change syntax highlighting colors in emacs in a different tmux pane too,...
  • s stable and that <code>fANOVA</code> does not yield NaNs or errors~</li><li>[x] Fix interface</li><li>[x] Write more tests</li><li>[x] Reconsider third party dependencies</li><li>[x] Document</li><li...
  • File "/opt/conda/lib/python3.6/site-packages/tsfresh/feature_extraction/feature_calculators.py", line 193, in variance_larger_than_standard_deviation y = np.var(x) File "/opt/conda/lib/python3.6/...
  • Now, for good measure, we will also throw in our own 3-Year Exit Strategy Investment, based on the acquisition and short-term, leverage assisted disposal of heavily discounted high-yield property ...
  • [FEA] rolling median()

    2021-01-09 07:31:35
    <p>The robust z-score uses the <strong>median</strong> for the first (expectation) and second (variance, standard deviation) moments. This is instead of the average. <p>Current operation takes about ...
  • np.sqrt(self.explained_variance_) Traceback (most recent call last): File "/home/pastore/data/bcbio/anaconda/bin/peddy", line 11, in load_entry_point('peddy==0.4.2', '...
  • <p>On CIFAR10 I ran the exact command supposed to yield 90.35% accuracy: <code>python main.py --net-type 'noiseresnet18' --dataset-test 'CIFAR10' --dataset-train 'CIFAR10' --...
  • leads to a reduction of variance and an increase in bias. Note: the search for a split does not stop until at least one valid partition of the node samples is found, even if it requires to ...
  • Cleanup unused test files.

    2020-11-23 06:14:34
    src/test/resources/large/cnv_germline_workflows_test_files/inputs/wes_pon/posteriors_final/sample_specific_unexplained_variance.tsv src/test/resources/large/cnv_germline_workflows_test_files/inputs/...
  • Functional Programming Jargon Functional programming (FP) provides many advantages, and its popularity has been increasing as a result. However, each programming paradigm comes with its own unique ...
  • variance: - 1.0 - 1.0 - 1.0 - 1.0 num_classes: 1 ResNet: [32mfeature_maps[0m: 4 [32mnorm_type[0m: affine_channel dcn_v2_stages: [] depth: 50 freeze_at: 2 freeze_norm: true gcb_params: {} ...
  • Contents Overview 1 Lesson 1: Index Concepts 3 Lesson 2: Concepts – Statistics 29 Lesson 3: Concepts – Query Optimization 37 Lesson 4: Information Collection and Analysis 61 Lesson 5: Formulating ...

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