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Basic probability distribution basic Concept of probability distributions 3:geometric distribution

variance is $$ \begin{align*} \mbox{var} (X) = E\left[x^2\right]-e[x]^2\\ = {(1-p) (2-p) \over p^2}-{(1-p) ^2\over p^2}\\ = {1-p\over p^2} \end{align*} $$ Examples1. Let $X $ is geometrically distributed with probability parameter $p ={1\over2}$. Determine the expected value $\mu$, the standard deviation $\sigma$, and the probability $P \left (| x-\mu| \geq 2\sigma\right) $. Compare with Chebyshev ' s inequality.Solution:The geometric distribution

Pain points and Solutions of furniture e-commerce logistics distribution service, e-commerce logistics distribution

Pain points and Solutions of furniture e-commerce logistics distribution service, e-commerce logistics distribution Reprinted tuba in: http://www.tubaali.com/cms/article-37.html With the rapid growth of the Internet, furniture e-businesses such as tuba's platform have sprung up, and tens of thousands of orders exist behind the huge transaction volume of furniture e-businesses, it is not just a matter of

Android input events from read to distribution five: the interception process before event distribution

In the previous article: Android input events from read to distribution three: Inputdispatcherthread thread distribution events in the article has already mentioned the event before the distribution to do interception, but did not unfold to analyze it, So the main purpose of this article is to analyze the interception process before the event is distributed. (Not

Memory Distribution (upper) and VS distribution of classes in

Memory Distribution (upper) and VS distribution of classes in 0. Order I am currently studying C ++. I am also interested in the Implementation Principles of C ++ classes and their classes. So we plan to better understand the implementation of classes by observing the class distribution in the memory. In fact, the distributio

Four advantages of centralized online distribution of distribution racks

Centralized cabling means that the patch cord number and the serial number of the main cable in the horizontal layout of the distribution frame are completed in a certain proportion in advance at one time. The device number of the Programmable switch can be flexibly connected to the phone number, complete installation, migration, code change, testing, and other business operations. In this new operation mode, only one user can complete the patch cord

IOS learning 9_event distribution & amp; Response Chain & amp; small sentiment of converting android to iOS, and ios event Distribution

IOS learning 9_event distribution Response Chain Small sentiment of converting android to iOS, and ios event Distribution Three events for iOS: Touch events, motion events, and remote control events typedef enum {UIEventTypeTouches,UIEventTypeMotion,UIEventTypeRemoteControl,} UIEventType; Only objects that inherit the UIResponder class can process events. For example, UIView, UIViewController, and UIAppl

Basic probability distribution basic Concept of probability distributions 8:normal distribution

PDF versionPDF CDFThe probability density function is $ $f (x; \mu, \sigma) = {1\over\sqrt{2\pi}\sigma}e^{-{1\over2}{(X-\MU) ^2\over\sigma^2 }}$$ the cumulative distribution function is a defined by $ $F (x; \mu, \sigma) = \phi\left ({x-\mu\over\sigma}\right) $$ where $$\phi (z) = {1\over\sqrt{2\pi}} \int_{-\infty}^{z}e^{-{1\over2}x^2}\ dx$$Proof:$$ \begin{align*} \int_{-\infty}^{\infty}f (x; \mu, \sigma) = \int_{-\infty}^{\infty}{1\over\sqrt{2\pi}\s

Several graphs describe the data distribution of MyISAM and InnoDB and the data distribution differences between primary key indexes and level two indexes

Table structure: CREATE TABLE Layout_test ( col1 int not NULL, col2 int not NULL, PRIMARY KEY (col1), KEY (col2) ); Description: The table's primary key value (col1) is 1~100000, but is inserted in random order The values of column col2 are randomly assigned between 1~100, so there are many duplicate values. MyISAM table (non-clustered index): Data Distribution Chart: Primary key Data distribution: Col2

Use Excel to generate a frequency distribution table and a frequency distribution histogram

Use Excel to generate a frequency distribution table and a frequency distribution histogram Fujian Nanping High School Zheng dinghua 353000 mobile phone 13859389247 Abstract: relying on the "analysis tool" provided by Excel, the actual operation and solution analysis are carried out through specific examples to solve the statistical problem perfectly and efficiently, this frees teachers and students from co

Shell Project-Distribution system-build file distribution system

Shell Project-Distribution system-build file distribution system Requirement background for large companies, there must be a site or configuration file updates from time to time, and the use of the machine is certainly a lot of units, less than a few, more than dozens of or even hundreds of Taiwan. Therefore, automatic synchronization of files is critical. The first thing to do is to have a tem

Sampling distribution and general distribution of one mathematical random thoughts

This article mainly wants to explain three questions:One is the numerical characteristics of the sample, The second is the difference between the variance of the sample and the mean of the sample , and the third is how to construct the sampling distribution.AFor simplicity, suppose there is a general ξ~n (µ,σ2) of the normal distribution, imagine that we randomly extract N samples, ξ1, ... Ξn.There is a sample mean and sample variance at this point.T

PHP hook and simple Distribution Method Instance analysis, hook distribution instance analysis

PHP hook and simple Distribution Method Instance analysis, hook distribution instance analysis This article describes PHP hooks and simple distribution methods. We will share this with you for your reference. The details are as follows: // Simple hook implementation example class tool {public static function main ($ class, $ fun, $ data = '') {// pre-public opera

Check whether the sample obeys the normal distribution, processing the bias distribution _ the number of places

In data analysis, if a certain data obeys a normal distribution, we can make a lot of meaningful analysis, such as T-Test, by using the nature of normal distribution. How to check whether the sample obeys normal distribution.You can use the Q-q graph for testing, q-q graph is a scatter plot, dot (x, y) represents a number of points in the data x, and y represents the same number of decimal places (i.e., FX

Derivation of Poisson distribution of derivation conditional mathematical expectation formula (Poisson distribution) __signal

Introduction Poisson distribution evolved from two distribution. Two distribution that is, if the coin positive upward probability of p, toss n times coins, this n times the coin toward the K-time (k P (k) =CKNPK (1−p) n−k (1) p (k) = C_n^kp^k (1-p) ^{n-k} \ \ \ \ \ \ \ \ \ \ (1) the expectation of the coin upward is: E (k) =PN (2) e (k) = pn \ \ \ \ \ \ \ \

Event Distribution Source Flow _ event distribution from click Screen to event handling

main method, which is the main method of Activitythread Activitythread public static void Main (string[] args) { samplingprofilerintegration.start (); Closeguard.setenabled (false); Environment.initforcurrentuser (); Eventlogger.setreporter (New Eventloggingreporter ()); Security.addprovider (New Androidkeystoreprovider ()); Process.setargv0 (" Next is the execution of the MessageQueue, followed by the execution of Dispatchinputevent () Inputeventreceiver Called from na

Professional customization of three levels of distribution, micro-distribution website system development and construction,

Professional customization of three levels of distribution, micro-distribution website system development and construction, Professional customization of three levels of distribution, micro-distribution website system development and construction of unlimited level of distribution

Use assembly to analyze the Memory Distribution of c code and assembly c code distribution

Use assembly to analyze the Memory Distribution of c code and assembly c code distribution Use disassembly on the arm platform to analyze the c Memory Distribution: arm: Use the arm-linux-objdump command to decompile the compiled elf File. and then redirect to tmp. s file. the first variable is as follows: c file. vim tmp. c # include

C + +: Random number of normal distribution (norm distribution) detailed

The normal distribution (norm distribution), as an important distributing law, has a wide range of uses; Note that the normal distribution contains two parameters, mean (mean) and standard deviation (standard deviation); Random library (#include The code is as follows: #include More Wonderful content: http://www.bianceng.cnhttp://www.bianceng.cn/Programmi

Monitoring scheme of distribution automation Distribution Cabinet

Solution Requirements With the rapid economic development, various industries have higher and higher requirements on power quality, and each power supply failure will cause huge losses. Power supply stability and reliability directly affect people's living standards, transportation security, and other livelihood issues, and even directly affect social and economic development. Therefore, we need a real-time monitoring and control solution for the power supply system to achieve automation of t

Sorting algorithm (9)--distribution sorting--distribution Sort [1]--counting sort--counter Sort

array int[] B =New int[Length];//construct B Array//count the number of elements in a, and deposit in the C array for(inti = 0; i ) {C[array[i]]+ = 1; } //accumulate the number of each element: Set the value of the C array for(inti = 0; I ) {sum+=C[i]; C[i]=sum; } //iterate a array, construct B array for(inti = length-1; I >= 0; i--) {B[c[array[i]]-1] = array[i];//Place the element in a in the position specified in array b after sortingC[array[i]]--;//this element in C-1 is

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