英文字典中文字典


英文字典中文字典51ZiDian.com



中文字典辞典   英文字典 a   b   c   d   e   f   g   h   i   j   k   l   m   n   o   p   q   r   s   t   u   v   w   x   y   z       







请输入英文单字，中文词皆可：

inconsiderable    
a. 不足取的,琐屑的

不足取的,琐屑的

inconsiderable
adj 1: too small or unimportant to merit attention; "passed his
life in an inconsiderable village"; "their duties were
inconsiderable"; "had no inconsiderable influence" [ant:
{considerable}]

Inconsiderable \In`con*sid"er*a*ble\, a.
Not considerable; unworthy of consideration or notice;
unimportant; small; trivial; as, an inconsiderable distance;
an inconsiderable quantity, degree, value, or sum. "The baser
scum and inconsiderable dregs of Rome." --Stepney. --
{In`con*sid"er*a*ble*ness}, n. -- {In`con*sid"er*a*bly}, adv.
[1913 Webster]


请选择你想看的字典辞典：
单词字典翻译
inconsiderable查看　inconsiderable　在百度字典中的解释百度英翻中〔查看〕
inconsiderable查看　inconsiderable　在Google字典中的解释Google英翻中〔查看〕
inconsiderable查看　inconsiderable　在Yahoo字典中的解释Yahoo英翻中〔查看〕

安装中文字典英文字典查询工具!


中文字典英文字典工具:
选择颜色:
输入中英文单字

































































英文字典中文字典相关资料:


  • bayesian - What are posterior predictive checks and what . . .
    Posterior predictive checks are helpful in assessing if your model gives you "valid" predictions about the reality - do they fit the observed data or not It is a helpful phase of model building and checking
  • 16 Posterior predictive model checking | Bayesian Data . . .
    In this book, we present three ways to assess how well a model reproduces the data-generating process: (1) residual analysis, (2) posterior predictive model checking (this chapter) and (3) prior sensitivity analysis Posterior predictive model checking is the comparison of replicated data generated under the model with the observed data
  • 9 Model Checking | Updating: A Set of Bayesian Notes
    One method evaluate the fit of a model is to use posterior predictive checks Compare the simulated data (or a statistic thereof) to the observed data and a statistic thereof The comparison between data simulated from the model can be formal or visual
  • A Note on Posterior Predictive Checks to Assess Model Fit for . . .
    We examine two posterior predictive distribution based approaches to assess model fit for incomplete longitudinal data The first approach assesses fit based on replicated complete data as advocated in Gelman et al (2005) The second approach assesses fit based on replicated observed data
  • Posterior and Prior Predictive Checks - Stan
    Posterior predictive checking works by simulating new replicated data sets based on the fitted model parameters and then comparing statistics applied to the replicated data set with the same statistic applied to the original data set Prior predictive checks evaluate the prior the same way
  • Posterior predictive checks - The Comprehensive R Archive Network
    We run the MCMC sampler to fit the model: A posterior predictive check is the comparison between what the fitted model predicts and the actual observed data The aim is to detect if the model is inadequate to describe the data
  • Posterior Predictive Check: Reality Check: Validating Models . . .
    Posterior predictive checks (PPCs) are a cornerstone of Bayesian model validation, providing a crucial reality check on the model's ability to generate data comparable to the observed data They are a form of model checking that allows us to assess how well a model captures the underlying distribution of the observed data





中文字典-英文字典  2005-2009