Bayesian Data Analysis Describes How To Conceptualize, Perform, And Critique Statistical Analyses From A Bayesian Perspective. Using Examples Largely From The Authors' Own Experiences, The...
Bayesian Data Analysis describes how to conceptualize, perform, and critique statistical analyses from a Bayesian perspective. Using examples largely from the authors' own experiences, the...
Renowned statistician R.G. Miller set the pace for statistics students with Beyond ANOVA: Basics of Applied Statistics. Designed to show students how to work with...
Both Traditional Students and Working Professionals Acquire the Skills to Analyze Social Problems.Big Data and Social Science: A Practical Guide to Methods and Tools shows...
Bivectors occur naturally in the description of elliptically polarized homogeneous and inhomogeneous plane waves. The description of a homogeneous plane wave generally involves a vector...
Chebyshev polynomials crop up in virtually every area of numerical analysis, and they hold particular importance in recent advances in subjects such as orthogonal polynomials,...
The Methodology Used To Construct Tree Structured Rules Is The Focus Of This Monograph. Unlike Many Other Statistical Procedures, Which Moved From Pencil And Paper...
Computer simulation is an effective and popular universal tool that can be applied to almost all disciplines. Requiring only basic knowledge of programming, mathematics, and...
The feedback control of nonlinear differential and algebraic equation systems (DAEs) is a relatively new subject. Developing steadily over the last few years, it has...
Upon publication, the first edition of the CRC Concise Encyclopedia of Mathematics received overwhelming accolades for its unparalleled scope, readability, and utility. It soon took...
Data Driven Statistical Methods is designed for use either as a text book at the undergraduate level, as a source book providing material and suggestions...
Early approaches to accelerated testing were based on the assumption that there was a simple acceleration factor that would correspond to a linear scaling of...
The Goal Of This Book Is To Make Some Underutilized But Potentially Very Useful Methods In Experimental Design And Analysis Available To Ecologists, And To...
Containing chemical, physical and structural data on 45,000 organometallics, this new edition of Dictionary of Organometallic Compounds is completely reviews and expanded.All compounds from the...
Discovering Computer Science: Interdisciplinary Problems, Principles, And Python Programming Introduces Computational Problem Solving As A Vehicle Of Discovery In A Wide Variety Of Disciplines. With...
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Bayesian Data Analysis Describes How To Conceptualize, Perform, And Critique Statistical Analyses From A Bayesian Perspective. Using Examples Largely From The Authors' Own Experiences, The...
Bayesian Data Analysis describes how to conceptualize, perform, and critique statistical analyses from a Bayesian perspective. Using examples largely from the authors' own experiences, the...
Renowned statistician R.G. Miller set the pace for statistics students with Beyond ANOVA: Basics of Applied Statistics. Designed to show students how to work with...
Both Traditional Students and Working Professionals Acquire the Skills to Analyze Social Problems.Big Data and Social Science: A Practical Guide to Methods and Tools shows...
Bivectors occur naturally in the description of elliptically polarized homogeneous and inhomogeneous plane waves. The description of a homogeneous plane wave generally involves a vector...
Chebyshev polynomials crop up in virtually every area of numerical analysis, and they hold particular importance in recent advances in subjects such as orthogonal polynomials,...
The Methodology Used To Construct Tree Structured Rules Is The Focus Of This Monograph. Unlike Many Other Statistical Procedures, Which Moved From Pencil And Paper...
Computer simulation is an effective and popular universal tool that can be applied to almost all disciplines. Requiring only basic knowledge of programming, mathematics, and...
The feedback control of nonlinear differential and algebraic equation systems (DAEs) is a relatively new subject. Developing steadily over the last few years, it has...
Upon publication, the first edition of the CRC Concise Encyclopedia of Mathematics received overwhelming accolades for its unparalleled scope, readability, and utility. It soon took...
Data Driven Statistical Methods is designed for use either as a text book at the undergraduate level, as a source book providing material and suggestions...
Early approaches to accelerated testing were based on the assumption that there was a simple acceleration factor that would correspond to a linear scaling of...
The Goal Of This Book Is To Make Some Underutilized But Potentially Very Useful Methods In Experimental Design And Analysis Available To Ecologists, And To...
Containing chemical, physical and structural data on 45,000 organometallics, this new edition of Dictionary of Organometallic Compounds is completely reviews and expanded.All compounds from the...
Discovering Computer Science: Interdisciplinary Problems, Principles, And Python Programming Introduces Computational Problem Solving As A Vehicle Of Discovery In A Wide Variety Of Disciplines. With...
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