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Questions tagged [geometric-distribution]

The geometric distribution is a discrete (count) distribution, where the probability of each count is a constant proportion of the next lower count. An example is 'the number of coin tosses until the first head'.

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Geometric distribution described with rate parameter

I don't understand this sentence from this paper (around equation $5$): The function $H(\tau)$ is the hazard function. $H(\tau) = \frac{P_{\text{gap}}(g = \tau)}{\sum_{t=\tau}^{\infty} P_{\...
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UMVUE- geometric distribution where $X$ is the number of failures preceding the first success

$X_1, \dots, X_n$ iis geometric: $P(X=x) = (1-p)^{x}p$, $x=0,1,2, \dots$ My Attempt: $T=\sum_{i=1}^n X_i$ is a sufficient statistic $W= \begin{cases}1 & X_1= 0,\\ 0 & X_1\neq 0\end{cases}$ ...
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Probability of $X_1 \geq X_2$

Suppose $X_1$ and $X_2$ are independent geometric random variables with parameter $p$. What is the probability that $X_1 \geq X_2$? I am confused about this question because we aren't told anything ...
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What can we say about $N_{i}$ where $N=N_{1}+\cdots+N_{m}$, $N\thicksim Geom(\frac{1-p}{p})$ and conditional distribution of $N_{j}$ is binomial

Suppose that the number of events $N$ is a Geometric random variable with mean $\frac{1-p}{p}$. Further suppose that each event can be classified into one of $m$ types with probabilities $p_{1},p_{2},\...
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Outliers on discrete data

Is there any robust methodology to identify outliers in the discrete data distribution. I am specifically concerned with discrete geometrical distribution? P.S. Data transformation does not seem to ...
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How much data is considered “sparse” for fitting a mixed (Beta Geometric) distribution with 4 shape parameters?

I'm using CamDavidsonPhillips Customer Lifetime Value library to calculate CLV, and it uses a distribution based on Peter Fader's work on the subject that fits a Gamma distribution to model customer ...
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Difference between geometric distribution and negative binomial distribution

How do I differentiate between a problem of geometric distribution and that of Negative Binomial Distribution? Both include something around first success or failure. I'm confused.
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Probabilistic user behavior markov models on web

I am considering the following probabilistic Markov model of actions of a user on the results page of a search engine. The user examines the first result, with a probability $A$ he is satisfied with ...
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135 views

Bayesian posterior for Geometric Distribution

I have the following homework problem I am trying to solve for but am stuck with the posterior part. Note the the geometric distribution is a discrete distribution that has a probability mass function ...
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81 views

Unbiased estimator of p in geometric distribution

The answer to this question given by my professor was statistic T(x)= 1when X=0 and T(x) = 0 otherwise. Can I consider E(x) = (1-p)/p and then cross multiply and take 1/(1+x) as an unbiased estimator ...
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I think there is a little mistake in this exercise about the memoryless of Geometric Distribution

An exercise of Jacod and Protter: Let $X$ be Geometric. Show that for $i, j > 0$, $$P(X > i + j | X > i) = P(X > j)$$ I did it and I got a different asnwer: $$P(X > i + j | X > i) = ...
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Distribution of number of heads by coin flipped a geometric number of times

I have random variables $N \sim \text{geo}(p)$, and $B | N \sim \text{bin}(N, q)$. I'm looking for the distribution of $B$. To be clear, I have $$ \mathbb{P}(N=n) = p(1-p)^n \quad \text{for } n = 0, ...
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Joint probability distribution of geometric distribution

Let $X$ and $Y$ be independent and identically distributed $(i.i.d.)$ r.v.’s, each having the probability distribution, $p(k) = (1 − λ)λ^k$; $k = 0,1,...$ where $λ :(0; 1)$ is a constant. Define $U = ...
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Evaluating usefulness of estimations of a parameter for different distributions

If I had a sample of size n and wished to estimate some parameter, say p for two different distributions from the produced sample what would be required to determine which was more useful? Assume the ...
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average number of tossing coins till 'Head-Tail-Head' series of observation comes up [duplicate]

I know that we use 'geometric distribution' to solve problems such as 'Expected number of tosses till first head comes up' or 'expected number of rolling dice till first 'number 6' comes up'. However,...
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Coefficient of variation (CV) of log-transformed data

I understand that with log-transformed data, the coefficient of variation (CV) on the original scale is equal to sqrt(exp(sigma^2)-1), where sigma is the standard ...
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Ms. A selects a number $X$ randomly from the uniform distribution on $[0, 1]$. Then Mr. B repeatedly, and independently, draws numbers

Ms. A selects a number $X$ randomly from the uniform distribution on $[0, 1]$. Then Mr. B repeatedly, and independently, draws numbers $Y_1, Y_2, ...$ from the uniform distribution on $[0, 1]$, until ...
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Sufficient and complete statistic function for $\theta$ of geometric distribution [duplicate]

I am trying to find a sufficient and complete statistics function for $0<\theta<1$ of a sample $X = X_1, \dots, X_n$ from the Geometric Distribution. We have $f(x;\theta) = (1-\theta)^{x-1}\...
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How would I calculate a combination of the Binomial and Geometric Distributions?

To be specific with my problem, I'm calculating a formula for a game. There's 6 independent trials, each with an independent probability of success = 0.34. I know that from the Geometric distribution, ...
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Distances between random points in a hypercube and statistics of exponents

TL;DR: Why is $\text{avg}\left(|a-b|^k\right)=\frac{2}{(k+1)(k+2)}$? I.e. for $k=2$, as for finding average Euclidian distances, the result is $\frac{1}{6}$? I've been reading a book about "Corobs," ...
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Geometric distribution with random, varying success probability

I'm really sorry if this question is too basic, but I've been looking for a while and haven't been able to find a convincing response. My statistics background is rather poor. Geometric distribution ...
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Geometric Distribution - Biased Coin Flip

Whilst studying I stumbled on this problem, which I wish to check if my understanding is correct. Imagine we have a biased coin with probability 'k' of getting a head when flipped. Now A defines the ...
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Maximum likelihood estimate for geometric distribution from table

I am asked to compute the MLE of the parameter p of the geometric distribution and then apply it to some given data. It is easy to find the MLE: But how do I apply it to these data: ...
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Geometric Distribution

I'm trying to solve the following problem: The number of bombs required to achieve the disintegration is assumed to be geometrically distributed. In one series in which y bombs are available, x of ...
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How random variable $Y$ following geometric distribution in the following situation

I have a random variable, $X$ which follows exponential distribution with parameter $\lambda$. Then, define $Y=k$ for some $a$ greater than zero such that: $ka \leq X \leq (k+1)a$. Now, my ...
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Negative Multinomial Distribution as a sum of random variables

Given a random variable $x$ distributed according to a Negative Binomial distribution with dispersion parameter $r$, it can be seen as the sum of $r$ Geometric distributions. But given the Negative ...
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What is the probability that a best of seven series goes to the seventh game with negative binomial

Why cant we use negative binomial to calculate the probability of getting a 7th game in best of 7 game series? P(X=7, r=4) = {7-1 C 4 -1} * (.5)^(7-4) * (.5)^4 = .15 , so there is 15 % chance of 7 ...
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Confidence interval using Central Limit Theorem

I've been trying to find this information online, but have not had much success so far. I want to approximate the 95% confidence interval for the geometric distribution with the following parameters: ...
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Constant Curve for Cumulative Binomial

I am simulating traffic flow and have come across a rather interesting statistics problem that I'm having trouble wrapping my head around. I am modeling a stretch of road comprised of 2 lanes. Lets ...
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The special case of the negative binomial, the geometric and calculation with scipy

A particular case? One might consider the geometric distribution is simply a special case of the negative binomial with $N=1$. We know the geometric provides: "The probability the first occurrence ...
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Proof that the floor of an exponential random variable is a geometric variable

For any real number $x$,$[x]$ represents the smallest integer greater than or equal to $x$. If $X$ is an exponential random variable with mean $1/K$,show that $[X]$ is a geometric random variable with ...
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CRLB for estimating $\theta$ of $\sim\text{Geo}(\theta)$

I'd like to ask if the below computation of the information number for the CRLB is correct: Consider $x_1, x_2$ as iid $\sim Geo(\theta)$ Since $x_1, x_2$ ae iid and the geometric distribution is ...
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355 views

Expansion of Cumulant Generating Function of Negbin

Let $X \thicksim Negbin(r,p)$ where $(0\lt p \lt 1) $ I want to derive skewness and kurtosis of $X$ by getting the Cgf of X. First, since Followance of Negative Binomial equals to the distribution ...
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Expected duration of a conflict

I'm currently struggling with some statistical work, and thus I'm seeking your advice. I'm trying to investigate the expected duration of a conflict in a) a democracy and b) an autocracy. What I do ...
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If $Y$ ~ $geo(1-\theta)$, what's a ML estimator for $\theta$?

Suppose we have $Y$ ~ $geo(1-\theta)$ for $\theta \in (0,1)$. That is the pdf of $Y$ is given by $\theta^{k-1}(1-\theta).$ Formally, from what I understand the ML estimator for $1-\theta$ comes out ...
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Convolution of random variables: unimodality of the likelihood function

Let $X_1, X_2,...X_k$ be random independent variables, each $X_i$ drawn from a Geometric distribution $\mathcal{G}(p_i)$, and let its convolution, or sum, be $Y = \sum_{i=1}^k X_i$. The likelihood ...
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Total distribution of m geometric distributions

Suppose that you made a webpage and you are collecting the statistics from the visitors. There are m types of visitors (students, company recruiters, etc.). Each visit is equally likely to be any of ...
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Convergence in probability and distribution

Let $P(K=k)=(1-\beta)^k\beta ; k=1,2,3,...$ Then it is required to show $\beta K$ converges in distribution to an exp (1) random variable as $\beta$ tends to zero. For this they have started with ...
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Relationship between the binomial and the geometric distribution

I want to know the relationship between binomial and geometic distribution. I know the distribution both have two outcome and probability of success is the same for both distribution.
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How to estimate retention rate with limited data?

Let's say I'm a gym owner and I have only 2 years of monthly data of my gym memberships. Some members have quit after a few months and some members have been a member for all 2 years (24 months). I ...
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Checking if two geometric distributions have the same mean [duplicate]

I have 2 geometric distributions. And I have to compare their means and get the p-value. Is there a statistical test specifically designed for geometric distributions? I already used Mann-Whitney for ...
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103 views

$X\sim \exp(1/a)$, what is the pdf of $Y=X-[X]$?

Does anyone know how to find this pdf? I understand that $[X]\sim\mathrm{ Ge} \left(1-e^{-\frac{1}{a}}\right)$, but I got stuck after that ($[X]$ is the integer part of $X$). I would be really ...
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Maximum likelihood estimate of square root of mean of geometric population

We have $n$ independently geometrically distributed values: $X_{1}, X_{2}, ... $ IID ~ Geom(p) We also assume that $n$ data values $x_{1}, x_{2},...$ are available. Now I would like to find the MLE ...
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How many times does f(x) need to be called before getting a True, on average?

I have a probabilistic function f(x) which returns True or False depending on its input x. The input x is an integer on the range [1,28] and is chosen uniformly at random. f(x) behaves as follows: ...
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Does the negative binomial distribution possess the memorylessness property?

Does the does a random variable Y distributed as a negative binomial $Y \sim \text{NB}(r, p)$ possess the memorylessness property? By which I mean: $P(Y = a + b \mid Y > a) = P(Y > b)$ It's ...
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Parallel between probability,wait time, frequency and period

I was reading about the geometric distribution, where $E(X) = 1/p$. This made me think of the classic formula in physics: $t=1/f$. Is there a parallel between both formulas, especially since a ...
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What is Geometrical Probability? [closed]

Is it a technique where Geometry is used to solve probabilistic problems? Is it a kind of probability which grows Geometrically when we conduct experiments? Is it a kind of distribution? I am ...
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Fisher's score function has mean zero - what does that even mean?

I'm trying to follow the princeton review of likelihood theory. They define Fisher’s score function as The first derivative of the log-likelihood function, and they ...
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How to sample value from Symmetric Geometric Distribution

How can I sample a value from a symmetric geometric distribution, as defined in this link. There, the density of the symmetric geometric proposal distribution is given by \begin{equation*} f(\theta;...
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Fitting data to binomial or bernoulli distributions

I'm trying to fit a count variable to discrete distribution, poisson and negative binomial are not the best candidate to my data since i have only 3 possible values: 0,1 or 2 (sometimes 2) . Can ...