Statistics Book

This book is a reprint of the Special Issue entitled "Statistical and Machine Learning Models for Remote Sensing Data Mining - Recent Advancements" that was published in Remote Sensing, MDPI. It provides insights into both core technical challenges and some selected critical applications of satellite remote sensing image analytics.

Practical Manual on Statistical Methods (Tamil)

Symmetry Analysis of Differential Equations: An Introduction presents an accessible approach to the uses of symmetry methods in solving both ordinary differential equations (ODEs) and partial differential equations (PDEs). Providing comprehensive coverage, the book fills a gap in the literature by discussing elementary symmetry concepts and invariance, including methods for reducing the complexity of ODEs and PDEs in an effort to solve the associated problems. Thoroughly class-tested, the author presents classical methods in a systematic, logical, and well-balanced manner. As the book progresses, the chapters graduate from elementary symmetries and the invariance of algebraic equations, to ODEs and PDEs, followed by coverage of the nonclassical method and compatibility. Symmetry Analysis of Differential Equations: An Introduction also features:Detailed, step-by-step examples to guide readers through the methods of symmetry analysisEnd-of-chapter exercises, varying from elementary to advanced, with select solutions to aid in the calculation of the presented algorithmic methods Symmetry Analysis of Differential Equations: An Introduction is an ideal textbook for upper-undergraduate and graduate-level courses in symmetry methods and applied mathematics. The book is also a useful reference for professionals in science, physics, and engineering, as well as anyone wishing to learn about the use of symmetry methods in solving differential equations.

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BCS-40

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience.

Code : 698 Publishing Year : 2014 Page : 236 Writer : Arun kumar Others

Statics books

Statistics of Management Book

Part One Educational Measurement: Meaning and Nature of Educational Measurement/ Evaluation in Education/ Instructional Objectives/ Principles of Test Construction and Standardised Tests/ Preparing a Test Blue-Print/ Characteristics of a Good Test or Measuring Instrument/ Constructing Objective Based and Objective Type of Test Items/ The Essay Test. Part Two Statistics: Meaning, Nature, Need and Scope of Educational Statistics/ Uses of Statistics in Educational Measurement/ Scales of Measurement/ Frequency Distribution and Graphical Representation of Data/ Measures of Central Tendency/ Measures of Variability/ Correlation/ Normal Curve/ Exercises for Practice. Part Three Guidance Services: Meaning, Nature, Need Scope and Objectives of Guidance Services/ Bases of Guidance/ Types of Guidance/ Guidance Services

Statistical

Statistical Theory Methods

In order to meet the variegated requirements of our clients, we are engaged in offering All of Statistics A Concise Course in Statistical Inference. These books are checked on different parameters before the final delivery to customers. ISBN No: 9788132213963 Book Title: All Of Statistics (A Concise Course In Statistical Inference) Book Author: Larry Wasserman

Statistical Inference : Theory Of Estimation Srivastava, Manoj Kumar , Khan, Abdul Hamid , Srivastava, Namita ISBN: 978-81-203-4930-8 Print Edition Pages: 808 Binding: Paper Back

Being a leading firm in this domain, we are manufacturing and supplying Mathematics And Statistics For Biology having following specifications: Authors: Lokanath Sahoo, Rajni Ballav Dash, Dhirendra Kumar DalaiEdition: 3rdYear of publication: 2013Pages: 531ISBN: 93-272-3152-6Language: EnglishArea of specialization: Biology Features: Illustrious graphicsEasy to understandAccurate printing

Statistical

Contents: An Introduction to Probability Theory: One Random Variable * An Introduction to Probability Theory: Many Random Variables * Statistics: An Introduction to Statistical Inference * Stochastic Processes: An Introduction to Poisson Processes and Markov Chains * The Analysis of DNA Sequence Patterns: One sequence * The Analysis of DNA Sequences: Multiple sequences * Stochastic Processes: Random Walks * Statistics: Classical Estimation and Hypothesis Testing * BLAST * Stochastic Processes: Markov Chains * Hidden Markov Models * Computationally intensive methods * Evolutionary models * Phylogenetica tree estimation

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Statisitcs Book

Statistics books

Business Statistics Book