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3 votes
1 answer
72 views

Tossing Until First Heads Outcome, and Repeating, as a Method for Estimating Probability of Heads

Consider the problem of estimating the heads probability $p$ of a coin by tossing it until the first heads outcome is observed. Say we get $k_1$ tosses, then $U_1 = \frac{1}{k_1}$ is an estimate for $...
Omid Madani's user avatar
3 votes
0 answers
34 views

What order of power mean best estimates the median of a gamma distribution?

Suppose we have a gamma-distributed random variable $X$ whose shape/scale parameters are known to be $\alpha$ and $\beta$. What order $p$ for the sample power mean $\hat M_p[X]$ minimizes $$ (\mathcal{...
Galen's user avatar
  • 9,401
1 vote
1 answer
463 views

Find the expectation of an exponential distribution estimator

So we've got a sample data coming from exponential distribution with parameter $\lambda$, and we take an estimator $\lambda_n = \frac{n}{X_1+X_2+\cdots+X_n}$. I need to show that this is a biased and ...
narek's user avatar
  • 13
2 votes
1 answer
88 views

Bias of MLE scales with $1/N$?

I was reading this paper (link) and it gave me some confusion. $P(r|\theta)$ is a distribution that generates sample $r$ based on some Poisson distribution, whose mean and variance are defined as some ...
CWC's user avatar
  • 281
12 votes
4 answers
1k views

Why isn't this estimator unbiased?

Suppose we have a IID sample $X_1, X_2, \cdots, X_n$ with each $X_i$ distributed as $\mathcal{N}(\mu, \sigma^2)$. Now suppose we construct (a rather peculiar) estimator for the mean $\mu$: we only ...
Peaceful's user avatar
  • 613
0 votes
0 answers
67 views

Bias and variance of an estimator of a model mean

I have a binary classification model and I need to use its output to estimate the means of groups of observations. I have two questions: A. Can I compute the the bias and variance of the estimator of ...
mchl_k's user avatar
  • 111
1 vote
1 answer
24 views

Can't Follow the Algebra in a Estimator MSE Comparison

Little bit of background - working through some maths and stats autodidactically. I simply can not follow the algebra of the following worked example comparing the MSE of two estimators. I can not ...
JoshSucksAtCoding's user avatar
0 votes
0 answers
97 views

Taking Expectation Over Inverse Sum of Indicator Functions?

I'm working with a zero inflated Poisson distribution that has the following pmf: $$f(y|w,\lambda)=wI[y=0]+(1-w)\frac{e^{-\lambda}\lambda^{y}}{y!}$$ I would like to find the expectation of the ...
tvbc's user avatar
  • 154
2 votes
1 answer
439 views

Are all estimators biased? Is the unbiasedness only a theoretical or approximation case?

The definition of unbiased estimator says that it's expected value has no difference comparing to a true value. So can we say that all estimators are biased (even slightly)? I thought that only in ...
Tom's user avatar
  • 491
1 vote
1 answer
569 views

Variance and expectation of $\frac{1}{n}\sum^n_{i=1}X^2_i$

Let $X = (X_1, . . . , X_n)$ consist of independent and identically Normal $N(0, θ)$ random variables, with mean $0$ and variance $θ \gt 0$. The Moment Estimator for $\theta$ is given by $\hat \theta ...
user avatar
4 votes
1 answer
2k views

MLE as an expectation over the empirical distribution

I am reading Ian Goodfellow "Deep Learning" book. At page 128, it writes the maximum log-likelihood estimator and then says it is equivalent to the expectation over the empirical distribution To ...
robertspierre's user avatar
1 vote
0 answers
298 views

Expected value of the parameters in linear regression (trying to understand which part is constant and which isn't and why)

I'm studying Linear Regression and trying to proof/demonstrate some properties of the parameters. When I started working with the expected value of the slope, I got confused with something. I actually ...
trder's user avatar
  • 660
1 vote
1 answer
66 views

Expected value without complete sample space

The book way: Suppose, we have a bag with 8 balls numbered 1-8, we want to estimate the population parameter mean. we note down the entire sample space. (1,1)(1,2).. (8,8) calculate mean of each ...
user1673216's user avatar
0 votes
1 answer
1k views

How do I find bias and variance of estimators of a binomial distribution?

A product-lot arrives in two containers with respectively 300 and 700 units in each container. We examine 30 units in the first container and find that 𝑋1 of them is defective. We check 70 units in ...
Coder88's user avatar
  • 159
1 vote
2 answers
804 views

Expectation on estimator for Poisson distribution

I'm reading through the textbook "All of Statistics" and one of the problems gives the following estimator for the lambda parameter of the Poisson distribution: $\hat{\lambda} = \frac{\sum_{i=1}^n ...
user9933193's user avatar

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