#
Statistical Theory and Methods
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The concept ** Statistical Theory and Methods** represents the subject, aboutness, idea or notion of resources found in **University of Liverpool**.

The Resource
Statistical Theory and Methods
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The concept

**Statistical Theory and Methods**represents the subject, aboutness, idea or notion of resources found in**University of Liverpool**.- Label
- Statistical Theory and Methods

## Context

Context of Statistical Theory and Methods#### Subject of

- A course in mathematical statistics and large sample theory
- A history of parametric statistical inference from Bernoulli to Fisher, 1713-1935
- A modern approach to regression with R
- Advances in Ranking and Selection, Multiple Comparisons, and Reliability : Methodology and Applications
- Advances in growth curve and structural equation modeling : topics from the Indian Statistical Institute -- proceedings 2017
- An introduction to bayesian analysis : theory and methods
- Analysis and modeling of complex data in behavioral and social sciences
- Analysis of quantised vortex tangle
- Analysis of survival data with dependent censoring : copula-based approaches
- Analytical methods in statistics : AMISTAT, Prague, November 2015
- Bayesian reliability
- Bayesian statistics in action : BAYSM 2016, Florence, Italy, June 19-21
- Bilinear regression analysis : an introduction
- Classification, (big) data analysis and statistical learning
- Computerized Adaptive and Multistage Testing with R : Using Packages catR and mstR
- Functional approach to optimal experimental design
- Geometric modeling in probability and statistics
- Geostatistical and geospatial approaches for the characterization of natural resources in the environment : challenges, processes and strategies
- Image processing using pulse-coupled neural networks
- Independent random sampling methods
- Information geometry
- Innovations in classification, data science, and information systems : proceedings of the 27th annual conference of the Gesellschaft für Klassifikation e.V., Brandenburg University of Technology, Cottbus, March 12-14, 2003
- Introduction to statistical methods, design of experiments and statistical quality control
- Introductory statistical inference with the likelihood function
- Introduzione ai metodi statistici per il credit scoring
- Limit theorems for multi-indexed sums of random variables
- Model-based geostatistics
- Models for discrete longitudinal data
- Non-linear time series : extreme events and integer value problems
- Permutation, parametric and bootstrap tests of hypotheses
- Principal component analysis networks and algorithms
- Probabilistic symmetries and invariance principles
- Probability with applications in engineering, science, and technology
- Probability: A Graduate Course : a Graduate Course
- Quantitative psychology : The 82nd Annual Meeting of the Psychometric Society, Zurich, Switzerland, 2017
- Resampling methods : a practical guide to data analysis
- Restricted parameter space estimation problems : admissibility and minimaxity properties
- Risk management in architectural design : control of uncertainty over building use and maintenance
- Sampling methods : exercises and solutions
- Sampling methods : exercises and solutions
- Science dynamics and research production : indicators, indexes, statistical laws and mathematical models
- Screening : methods for experimentation in industry, drug discovery, and genetics
- Semiparametric theory and missing data
- Series approximation methods in statistics
- Statistical Data Analysis Using SAS : Intermediate Statistical Methods
- Statistical Inference for Discrete Time Stochastic Processes
- Statistical analysis of environmental space-time processes
- Statistical analysis of extreme values : with applications to insurance, finance, hydrology and other fields
- Statistical methods for ranking data
- Stochastic orders
- The art of progressive censoring : applications to reliability and quality
- The art of semiparametrics
- The practice of econometric theory : an examination of the characteristics of econometric computation
- The significance test controversy revisited : the fiducial Bayesian alternative

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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.liverpool.ac.uk/resource/67G_Kt0ppoo/" typeof="CategoryCode http://bibfra.me/vocab/lite/Concept"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.liverpool.ac.uk/resource/67G_Kt0ppoo/">Statistical Theory and Methods</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.liverpool.ac.uk/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.liverpool.ac.uk/">University of Liverpool</a></span></span></span></span></div>

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`<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.liverpool.ac.uk/resource/67G_Kt0ppoo/" typeof="CategoryCode http://bibfra.me/vocab/lite/Concept"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.liverpool.ac.uk/resource/67G_Kt0ppoo/">Statistical Theory and Methods</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.liverpool.ac.uk/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.liverpool.ac.uk/">University of Liverpool</a></span></span></span></span></div>`