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brickbat 音标拼音: [br'ɪkb,æt]

XDict

n. 碎砖,砖片,侮辱

PyDict

碎砖,砖片,侮辱

WordNet (r) 3.0 (2006) (WordNet)

brickbat
n 1: a fragment of brick used as a weapon
2: blunt criticism

The Collaborative International Dictionary of English v.0.48 (gcide)

Brickbat \Brick"bat`\, n.
A piece or fragment of a brick. See 1st {Bat}, n. 4. --Bacon.
[1913 Webster]

Moby Thesaurus II by Grady Ward, 1.0 (moby-thesaurus)

41 Moby Thesaurus words for "brickbat":
Irish confetti, affront, aspersion, atrocity, bola, bolt,
boomerang, contempt, contumely, countermissile, cut, despite, dump,
enormity, flout, flouting, gibe, humiliation, indignity, injury,
insult, jeer, jeering, missile, mock, mockery, offense, outrage,
projectile, put-down, rock, rocket, scoff, scurrility, stone,
taunt, throw stick, throwing-stick, torpedo,
uncomplimentary remark, waddy

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单词	字典	翻译
brickbat	查看　brickbat　在百度字典中的解释	百度英翻中〔查看〕
brickbat	查看　brickbat　在Google字典中的解释	Google英翻中〔查看〕
brickbat	查看　brickbat　在Yahoo字典中的解释	Yahoo英翻中〔查看〕

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英文字典中文字典相关资料:

Moments in Probability Theory Explained - numberanalytics. com
This article explores raw, central, and standardized moments, and demonstrates how each type provides unique insights into the properties and behavior of probability distributions At its core, a moment provides a quantitative picture of some aspect of a probability distribution
Quantum Algorithm for Element Distinctness - Springer
There are several reasons why the element distinctness problem is interesting to study First of all, it is related to sorting Being able to sort x 1,…, x N enables one to solve the element distinctness by first sorting x 1,…, x N in increasing order
Element Distinctness, Frequency Moments, and Sliding Windows
We derive new time-space tradeoff lower bounds and algorithms for exactly computing statistics of input data, including frequency moments, element distinctness, and order statistics, that are simple to calculate for sorted data
Chapter 2 Moments | MATH2011: Statistical Distribution Theory
We use so-called higher-order moments — particularly the third and fourth moments So we need a general definition of moments and it will be useful to obtain relationships between them
Method of Moments - GeeksforGeeks
The Method of Moments (MoM) is a statistical method that estimates population parameters by equating the sample moments to the population moments MoM is widely applied in probability, statistics, and econometrics to obtain estimates of unknown probability distribution parameters
Element Distinctness, Frequency Moments, and Sliding Windows
IOnly consider outputs for these positions and show they are hard to predict Summing up IFinding two identical items is easier than sorting the input ISliding window element distinctness is still easier than sorting IF 0mod 2may be better than ED as an example of a hard decision problem to study ISliding window F
1. 4 - Method of Moments | STAT 415 - Statistics Online
In short, the method of moments involves equating sample moments with theoretical moments So, let's start by making sure we recall the definitions of theoretical moments, as well as learn the definitions of sample moments
6. 8: Moments - Statistics LibreTexts
For estimates of the moments, check Mean, Standard Deviation, Skewness, and Kurtosis Note that Rcmdr gives you the choice among three different Types of skewness and kurtosis
Moment: Definition, Examples, Generating Function
For most basic purposes in calculus and physics, these loose definitions are all you’ll need However, it’s important to know that there are two different kinds of “moment”: raw moments (moments about zero) and central moments They are defined differently

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