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This book builds theoretical statistics from the first principles of probability theory.
2
Principles of
Statistical Inference
The comprehensive, balanced account of the theory of statistical inference, its main ideas and controversies.
Minimum-variance unbiased estimation; The method of least squares; The method of maximum likelihood; Confidence sets; Hypothesis testing; The likelihood-ratio test and alternative 'large-sample' equivalents of it 108; Sequential tests; Non ...
4
All of Statistics: A Concise Course in
Statistical Inference
This book surveys a broad range of topics in probability and mathematical statistics. It provides the statistical background that a computer scientist needs to work in the area of machine learning.
5
Linear
Statistical Inference and its Applications
Presenting the theory and techniques of statistical inference in a logically integrated and practical form, it covers: The algebra of vectors and matrices Probability theory, tools, and techniques Continuous probability models The theory of ...
C. Radhakrishna Rao, 2009
6
Comparative
Statistical Inference
This book will be welcomed by both the student and practising statistician wishing to study at a fairly elementary level, the basic conceptual and interpretative distinctions between the different approaches, how they interrelate, what ...
7
Statistical Inference Based on the likelihood
This book introduces likelihood-based statistical theory and related methods from a classical viewpoint, and demonstrates how the main body of currently used statistical techniques can be generated from a few key concepts, in particular the ...
8
Bayesian
Statistical Inference
The theoretical importance of Bayesian inference, if not its practical validity, are generally acknowledged; but a reason for the lag in applications is that empirical researchers have lacked a grounding in the methodology.
9
Statistical Inference: A Short Course
The book also serves as a valuable reference for researchers and practitioners who would like to develop further insights into essential statistical tools.
10
Nonparametric
Statistical Inference, Fourth Edition: Revised ...
Thoroughly revised and reorganized, the fourth edition presents in-depth coverage of the theory and methods of the most widely used nonparametric procedures in statistical analysis and offers example applications appropriate for all areas ...
Jean Dickinson Gibbons, Subhabrata Chakraborti, 2014
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New method to make deeper inferences about infection dynamics
By applying their inference technique, the researchers for the current study have ... could be more accurately captured using rigorous statistical inferences. «Medical Xpress, 七月 15»
For Lawsuit On Va. Political Map, Complicated Testimony And Fresh …
The judges also have heard from experts about racially polarized voting and statistical inference and something called ecological regression. At one point ... «WAMU 88.5, 七月 15»
Science is heroic, with a tragic (statistical) flaw
Dogmatic devotion to traditional statistical methods is an Achilles heel that .... mutually inconsistent theories of statistical inference, one devised by Ronald Fisher ... «Science News, 七月 15»
Australian Bureau of Statistics drops big data bubble-buster
The second threshold challenge is “Validity of Statistical Inference”, a concept that the paper explains boils down to something akin to the problem of assuming ... «The Register, 六月 15»
The Era Of Prediction Markets Is At Hand
Seeing enormous potential for prediction markets, Yale statistician Paul Sztorc, who specializes in the art of statistical inference, started coding Truthcoin in ... «Brave New Coin, 六月 15»
The (Technical) Future of #SEO - Part 2
We call this statistical inference. This statistical inference gives you both a tremendous financial and operational advantage, when it comes to SEO (and even ... «Search Engine Journal, 五月 15»
Statistics: P values are just the tip of the iceberg
Given the discourse, it is no surprise that some hailed as a victory the banning of NHST methods (and all of statistical inference) in the journal Basic and Applied ... «Nature.com, 四月 15»
MIT's Picture language could be worth a thousand lines of code
Picture uses statistical inference to cut away much of the basic computational work needed for computer vision. It works much like the inverse to computer ... «Computerworld, 四月 15»
Math Class Dances Its Way to Computational Statistics
These days, you can't teach statistics without also teaching students how to use ... the planning and design of experiments, probability and statistical inference. «Bowdoin News, 三月 15»
The significance fallacy in inferential statistics
Statistical significance is an important concept in empirical science. However .... Statistical inference goes usually the other direction, from data to interpretation. «BMC Blogs Network, 三月 15»
