Combined Survey Sampling Inference

نویسندگان

چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Ordered Designs and Bayesian Inference in Survey Sampling

Many sampling designs, such as simple random sampling without replacement, can in principle be extended in a natural way so that the units continue to be selected until the population is exhausted. These designs impose a random order on the population. Here we show how such ordered designs can be used to define prior distributions over the population. For such priors the Bayesian analysis uses ...

متن کامل

Rejection Sampling Variational Inference

Variational inference using the reparameterization trick has enabled large-scale approximate Bayesian inference in complex probabilistic models, leveraging stochastic optimization to sidestep intractable expectations. The reparameterization trick is applicable when we can simulate a random variable by applying a (differentiable) deterministic function on an auxiliary random variable whose distr...

متن کامل

Inference from Sparse Sampling

In some statistical learning applications, the individual objects that are encountered are complex, behaveprobabilistically, and are encountered too briefly for the learner to form more than a fragmentary and unreliablerecord of the properties of each individual. In some cases, only previously collected sporadic survey data isavailable to the learner. In other cases, studying an...

متن کامل

Sampling Probability and Inference

The second part of the book looks into the probabilistic foundation of statistical analysis, which originates in probabilistic sampling, and introduces the reader to the arena of hypothesis testing. Chapter 5 explores the main random and controllable source of error, sampling, as opposed to non-sampling errors, potentially very dangerous and unknown. It shows the statistical advantages of extra...

متن کامل

Bayesian Nonparametric Weighted Sampling Inference

It has historically been a challenge to perform Bayesian inference in a design-based survey context. The present paper develops a Bayesian model for sampling inference in the presence of inverse-probability weights. We use a hierarchical approach in which we model the distribution of the weights of the nonsampled units in the population and simultaneously include them as predictors in a nonpara...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Technometrics

سال: 2004

ISSN: 0040-1706,1537-2723

DOI: 10.1198/tech.2004.s750