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Statistical Planning and Inference
This book introduces statistical planning and inference, presenting both classical theory and the major developments in the field. Each chapter presents problems and their …
Statistical Inference in Stochastic Processes
Covering both theory and applications, this collection of eleven contributed papers surveys the role of probabilistic models and statistical techniques in image analysis and …
Statistical Inference for Fractional Diffusion Processes
Stochastic processes are widely used for model building in the social, physical, engineering and life sciences as well as in financial economics. In model building, statistical …
Statistical Inference Based on the likelihood
The Likelihood plays a key role in both introducing general notions of statistical theory, and in developing specific methods. This book introduces likelihood-based statistical …
Statistical Inference and Simulation for Spatial Point Processes
Spatial point processes play a fundamental role in spatial statistics and today they are an active area of research with many new applications. Although other published works …
Statistical Inference and Probability
An experienced author in the field of data analytics and statistics, John Macinnes has produced a straight-forward text that breaks down the complex topic of inferential statistics …
Statistical Inference and Probability
An experienced author in the field of data analytics and statistics, John Macinnes has produced a straight-forward text that breaks down the complex topic of inferential statistics …
Statistical Inference
In many ways, estimation by an appropriate minimum distance method is one of the most natural ideas in statistics. However, there are many different ways of constructing an …
Statistical Inference
Statistics is a subject with a vast field of application, involving problems which vary widely in their character and complexity.However, in tackling these, we use a relatively …
Simultaneous Inference in Regression
Simultaneous confidence bands enable more intuitive and detailed inference of regression analysis than the standard inferential methods of parameter estimation and hypothesis …
Semimartingales and their Statistical Inference
Statistical inference carries great significance in model building from both the theoretical and the applications points of view. Its applications to engineering and economic …
Probability Theory and Statistical Inference
Doubt over the trustworthiness of published empirical results is not unwarranted and is often a result of statistical mis-specification: invalid probabilistic assumptions imposed …