Inferential Statistics And Numerical Analysis
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Inferential Statistics And Numerical Methods
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Author : Vandana Bagla
language : en
Publisher:
Release Date : 2018-02-18
Inferential Statistics And Numerical Methods written by Vandana Bagla and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-18 with categories.
It is my pleasure to present the first edition of the book titled 'Inferential Statistics and Numerical methods'. The book provides an insight into elementary inferential statistical methodologies including probability and sampling techniques; with basic numerical procedures of equation solving and interpolation. The content elaborates statistical and numerical methods that are significantly useful in science and engineering undergraduate courses; engrossing basic concepts and applications of statistical techniques and numerical methods in scientific, research and industrial applications. With this first edition, I have strived to meet the expectations of the students by explaining the text and related theory right from the elementary level. With a substantial emphasis on conceptual knowledge, the book provides working methodologies with sufficient number of illustrative examples. Practicing students and budding scientists will find it pragmatic in research related application problems. Level of the book has been kept moderately rudimentary and plain sailed to provide its' readers with lucidity and perceptibility. An exuberant attempt has been made for the students to comprehend and develop an envision for the concepts exemplified. It is hoped that this book would be determinedly advantageous to the tutees and prove to be serviceable.
Inferential Statistics And Numerical Analysis
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Author : Vandana Bagla
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2018-03-14
Inferential Statistics And Numerical Analysis written by Vandana Bagla and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-14 with categories.
It is my pleasure to present the first edition of the book titled 'Inferential Statistics and Numerical Analysis'. The book provides an insight into elementary inferential statistical methodologies including probability and sampling techniques; with basic numerical procedures of equation solving and interpolation. The content elaborates statistical and numerical methods that are significantly useful in science and engineering undergraduate courses; engrossing basic concepts and applications of statistical techniques and numerical methods in scientific, research and industrial applications. With this first edition, I have strived to meet the expectations of the students by explaining the text and related theory right from the elementary level. With a substantial emphasis on conceptual knowledge, the book provides working methodologies with sufficient number of illustrative examples. Practicing students and budding scientists will find it pragmatic in research related application problems. Level of the book has been kept moderately rudimentary and plain sailed to provide its' readers with lucidity and perceptibility. An exuberant attempt has been made for the students to comprehend and develop an envision for the concepts exemplified. It is hoped that this book would be determinedly advantageous to the tutees and prove to be serviceable. Dr. Vandana Bagla B.Sc. (Computers), M.Sc. (Mathematics), MBA (HR), Ph.D. (Operations Research) Assistant Professor at Maharaja Agrasen Institute of Technology, Guru Gobind Singh Indraprastha University, Delhi, India
Inferential Statistics And Numerical Methods
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Author : Vandana Bagla
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2018-02-18
Inferential Statistics And Numerical Methods written by Vandana Bagla and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-18 with categories.
It is my pleasure to present the first edition of the book titled 'Inferential Statistics and Numerical methods'. The book provides an insight into elementary inferential statistical methodologies including probability and sampling techniques; with basic numerical procedures of equation solving and interpolation. The content elaborates statistical and numerical methods that are significantly useful in science and engineering undergraduate courses; engrossing basic concepts and applications of statistical techniques and numerical methods in scientific, research and industrial applications. With this first edition, I have strived to meet the expectations of the students by explaining the text and related theory right from the elementary level. With a substantial emphasis on conceptual knowledge, the book provides working methodologies with sufficient number of illustrative examples. Practicing students and budding scientists will find it pragmatic in research related application problems. Level of the book has been kept moderately rudimentary and plain sailed to provide its' readers with lucidity and perceptibility. An exuberant attempt has been made for the students to comprehend and develop an envision for the concepts exemplified. It is hoped that this book would be determinedly advantageous to the tutees and prove to be serviceable. Dr. Vandana Bagla B.Sc. (Computers), M.Sc. (Mathematics), MBA (HR), Ph.D. (Operations Research) Assistant Professor at Maharaja Agrasen Institute of Technology, Guru Gobind Singh Indraprastha University, Delhi, India
Measuring And Reasoning
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Author : Fred L. Bookstein
language : en
Publisher: Cambridge University Press
Release Date : 2014-02-28
Measuring And Reasoning written by Fred L. Bookstein and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-02-28 with Mathematics categories.
In Measuring and Reasoning, Fred L. Bookstein examines the way ordinary arithmetic and numerical patterns are translated into scientific understanding, showing how the process relies on two carefully managed forms of argument: • Abduction: the generation of new hypotheses to accord with findings that were surprising on previous hypotheses, and • Consilience: the confirmation of numerical pattern claims by analogous findings at other levels of measurement. These profound principles include an understanding of the role of arithmetic and, more importantly, of how numerical patterns found in one study can relate to numbers found in others. More than 200 figures and diagrams illuminate the text. The book can be read with profit by any student of the empirical nature or social sciences and by anyone concerned with how scientists persuade those of us who are not scientists why we should credit the most important claims about scientific facts or theories.
Numerical Analysis Statistical Methods
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Author :
language : en
Publisher: Academic Publishers
Release Date :
Numerical Analysis Statistical Methods written by and has been published by Academic Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
All Of Statistics
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Author : Larry Wasserman
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-12-11
All Of Statistics written by Larry Wasserman and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-11 with Mathematics categories.
Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.
Statistical Information And Likelihood
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Author : D. Basu
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Statistical Information And Likelihood written by D. Basu and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Mathematics categories.
It is an honor to be asked to write a foreword to this book, for I believe that it and other books to follow will eventually lead to a dramatic change in the current statistics curriculum in our universities. I spent the 1975-76 academic year at Florida State University in Tallahassee. My purpose was to complete a book on Statistical Reliability Theory with Frank Proschan. At the time, I was working on total time on test processes. At the same time, I started attending lectures by Dev Basu on statistical inference. It was Lehmann's hypothesis testing course and Lehmann's book was the text. However, I noticed something strange - Basu never opened the book. He was obviously not following it. Instead, he was giving a very elegant, measure theoretic treatment of the concepts of sufficiency, ancillarity, and invariance. He was interested in the concept of information - what it meant. - how it fitted in with contemporary statistics. As he looked at the fundamental ideas, the logic behind their use seemed to evaporate. I was shocked. I didn't like priors. I didn't like Bayesian statistics. But after the smoke had cleared, that was all that was left. Basu loves counterexamples. He is like an art critic in the field of statistical inference. He would find a counterexample to the Bayesian approach if he could. So far, he has failed in this respect.
Parametric And Nonparametric Inference For Statistical Dynamic Shape Analysis With Applications
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Author : Chiara Brombin
language : en
Publisher: Springer
Release Date : 2016-02-11
Parametric And Nonparametric Inference For Statistical Dynamic Shape Analysis With Applications written by Chiara Brombin and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-02-11 with Mathematics categories.
This book considers specific inferential issues arising from the analysis of dynamic shapes with the attempt to solve the problems at hand using probability models and nonparametric tests. The models are simple to understand and interpret and provide a useful tool to describe the global dynamics of the landmark configurations. However, because of the non-Euclidean nature of shape spaces, distributions in shape spaces are not straightforward to obtain. The book explores the use of the Gaussian distribution in the configuration space, with similarity transformations integrated out. Specifically, it works with the offset-normal shape distribution as a probability model for statistical inference on a sample of a temporal sequence of landmark configurations. This enables inference for Gaussian processes from configurations onto the shape space. The book is divided in two parts, with the first three chapters covering material on the offset-normal shape distribution, and the remaining chapters covering the theory of NonParametric Combination (NPC) tests. The chapters offer a collection of applications which are bound together by the theme of this book. They refer to the analysis of data from the FG-NET (Face and Gesture Recognition Research Network) database with facial expressions. For these data, it may be desirable to provide a description of the dynamics of the expressions, or testing whether there is a difference between the dynamics of two facial expressions or testing which of the landmarks are more informative in explaining the pattern of an expression.
Robust Statistical Procedures
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Author : Peter J. Huber
language : en
Publisher: SIAM
Release Date : 1996-01-01
Robust Statistical Procedures written by Peter J. Huber and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-01-01 with Mathematics categories.
Here is a brief, well-organized, and easy-to-follow introduction and overview of robust statistics. Huber focuses primarily on the important and clearly understood case of distribution robustness, where the shape of the true underlying distribution deviates slightly from the assumed model (usually the Gaussian law). An additional chapter on recent developments in robustness has been added and the reference list has been expanded and updated from the 1977 edition.
Numerical Analysis Statistics
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Author :
language : en
Publisher: Academic Publishers
Release Date :
Numerical Analysis Statistics written by and has been published by Academic Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.