Mathematical Statistics With Applications
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A01=Asha Seth Kapadia
A01=Lemuel A. Moye
A01=Wenyaw Chan
advanced statistical inference
Approximate Confidence Interval
Atm Machine
Author_Asha Seth Kapadia
Author_Lemuel A. Moye
Author_Wenyaw Chan
Category=PBT
Chance Node
computational statistics tools
Conditional Expectation
Confidence Interval
Coverage Probability
Credible Interval
Cumulative Distribution Function
decision theory methods
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Fisher Information Function
Full Conditional Distributions
Gibbs Sampler
HPD Credible Interval
Inverse Transformation Method
Markov Chain
Moment Generating Function
multivariate analysis techniques
Multivariate Normal Random Vector
Newton Raphson Method
Pivotal Quantity
Posterior Distribution
practical statistical methods for researchers
probability theory applications
Random Variables
SAS Program
Slutsky's Theorem
Slutsky’s Theorem
Stationary Markov Chain
stochastic process modeling
Transition Probability Matrix
White Cells
Product details
- ISBN 9781032477893
- Weight: 1040g
- Dimensions: 152 x 229mm
- Publication Date: 21 Jan 2023
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Paperback
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Mathematical statistics typically represents one of the most difficult challenges in statistics, particularly for those with more applied, rather than mathematical, interests and backgrounds. Most textbooks on the subject provide little or no review of the advanced calculus topics upon which much of mathematical statistics relies and furthermore contain material that is wholly theoretical, thus presenting even greater challenges to those interested in applying advanced statistics to a specific area.
Mathematical Statistics with Applications presents the background concepts and builds the technical sophistication needed to move on to more advanced studies in multivariate analysis, decision theory, stochastic processes, or computational statistics. Applications embedded within theoretical discussions clearly demonstrate the utility of the theory in a useful and relevant field of application and allow readers to avoid sudden exposure to purely theoretical materials.
With its clear explanations and more than usual emphasis on applications and computation, this text reaches out to the many students and professionals more interested in the practical use of statistics to enrich their work in areas such as communications, computer science, economics, astronomy, and public health.
Asha Seth Kapadia, Wenyaw Chan, Lemuel A. Moyé
