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eebo-0014
University of Cambridge. --- University of Cambridge --- Graduation requirements
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How are you going to make sure that your graduation represents you and everything that you are capable of, instead of what all students in your program can do? The only way to do this is to make your thesis entirely your project. And, the only way to do that is to continuously take initiative, stay active, and, most importantly, stay in charge of your work. This book will challenge you and your current perspective on your upcoming graduation project. In seven chapters, the book's authors offer their views, ideas, and practical tips of what it means to be in charge of one's own graduation, how
Science --- eindwerken schrijven --- Commencement ceremonies. --- Commencement exercises --- Commencements (Graduation ceremonies) --- Graduation ceremonies --- Academic rites and ceremonies --- Schools --- Exercises and recreations
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High schools --- Educational accountability --- School improvement programs --- Graduation requirements --- United States.
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High schools --- Educational accountability --- School improvement programs --- Graduation requirements --- United States.
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Here is a clear exposition of nonparametric smoothing methods for statisticians. The focus is applied rather than theoretical, with a large number of illustrations from different disciplines.
Mathematical statistics --- Smoothing (Statistics) --- Smoothing (Statistics). --- Basic Sciences. Statistics --- Experimental Design. --- 519.5 --- Curve fitting --- Graduation (Statistics) --- Roundoff errors --- Statistics
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Part of the OXFORD STATISTICAL SCIENCE series describing the use of smoothing techniques in statistics with an emphasis on applications rather than detailed theory, and making extensive reference to S-Plus as a computing environment in which examples can be explored. S-Plus functions and example scripts are provided to implement the techniques.
Smoothing (Statistics) --- Mathematics --- Physical Sciences & Mathematics --- Mathematical Statistics --- Curve fitting --- Graduation (Statistics) --- Roundoff errors --- Statistics --- Kernel functions.
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Methods of kernel estimates represent one of the most effective nonparametric smoothing techniques. These methods are simple to understand and they possess very good statistical properties. This book provides a concise and comprehensive overview of statistical theory and in addition, emphasis is given to the implementation of presented methods in Matlab. All created programs are included in a special toolbox which is an integral part of the book. This toolbox contains many Matlab scripts useful for kernel smoothing of density, cumulative distribution function, regression function, hazard funct
Smoothing (Statistics) --- Kernel functions. --- Functions, Kernel --- Functions of complex variables --- Geometric function theory --- Curve fitting --- Graduation (Statistics) --- Roundoff errors --- Statistics
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Baccalaureate addresses --- Medicine. --- Discours de remise des diplômes --- Médecine. --- McGill University. --- Baccalaureate sermons --- Commencement addresses --- Graduation sermons --- Occasional speeches --- Universities and colleges --- Health Workforce
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Stochastic processes --- Mathematical statistics --- Smoothing (Numerical analysis) --- Smoothing (Statistics) --- Spline theory --- Spline functions --- Approximation theory --- Interpolation --- Curve fitting --- Numerical analysis --- Graduation (Statistics) --- Roundoff errors --- Statistics
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