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.

This is an ebook version of the "A-Level Study Guide - Mathematics (Higher 2) - Ed H2.2" published by Step-by-Step International Pte Ltd. [ For the revised Higher 2 (H2) syllabus with first exam in 2017. ] This ebook gives concise illustrated notes and worked examples. It is intended as a study guide for readers who have studied O-Level Additional Mathematics or the equivalent. It contains material that most readers should want to take note of when attending formal lessons and/or discussions on the Singapore-Cambridge GCE A-Level Higher 2 (H2) Mathematics. The concise notes cover essential steps to understand the relevant theories. The illustrations and worked examples show essential workings to apply those theories. We believe the notes and illustrations will help readers learn to "learn" and apply the relevant knowledge. The ebook should help readers study and prepare for their exams. Relevant feedbacks from Examiner Reports, reflecting what the examiners expected, are incorporated into the notes and illustrations where possible, or appended as notes (NB) where appropriate. It is also a suitable aid for teaching and revision.

Mathematics of Computing -- General.

The Language Demands of School is an edited volume describing an extensive empirical base for academic English testing, instruction and professional development. The chapters comprise empirical research by Bailey and colleagues at the National Center for Research on Evaluation, Standards, Student Testing (CRESST) at UCLA, and invited contributions by practitioners in the fields of language policy, testing and instruction. The central focus of the chapters is the research conducted by CRESST over the last two years in an attempt to document the academic English language demands placed on school-age learners of English. The three additional chapters give the perspectives of a policy-maker at the state level, test developers, and practitioners. The Language Demands of School fills a gap in the current literature by addressing the kind(s) of English required of K-12 English Learner students from an evidence-based perspective. This is timely given the broader context of the No Child Left Behind Act of 2001, which has prompted school systems to identify English language proficiency tests to meet the federal mandate. One of the problems that has surfaced in the search for English language tests for K-12 English Learner students is the inadequacy of existing research on the development of the academic English language skills that all students—both English Learner and native English-speaking—need to be successful in the school setting. The Language Demands of School is devoted to exploring this topic and to presenting research that illuminates both the questions and the answers.

This second edition accounts for many major developments in generalized inverses while maintaining the informal and leisurely style of the 1974 first edition. Added material includes a chapter on applications, new exercises, and an appendix on the work of E.H. Moore.

As a market leader, PHYSICS FOR SCIENTISTS AND ENGINEERS is one of the most powerful brands in the physics market. While preserving concise language, state-of-the-art educational pedagogy, and top-notch worked examples, the Ninth Edition highlights the Analysis Model approach to problem-solving, including brand-new Analysis Model Tutorials, written by text co-author John Jewett, and available in Enhanced WebAssign. The Analysis Model approach lays out a standard set of situations that appear in most physics problems, and serves as a bridge to help students identify the correct fundamental principle--and then the equation--to utilize in solving that problem. The unified art program and the carefully thought out problem sets also enhance the thoughtful instruction for which Raymond A. Serway and John W. Jewett, Jr. earned their reputations. The Ninth Edition of PHYSICS FOR SCIENTISTS AND ENGINEERS continues to be accompanied by Enhanced WebAssign in the most integrated text-technology offering available today. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Essentials of Computational Chemistry provides a balanced introduction to this dynamic subject. Suitable for both experimentalists and theorists, a wide range of samples and applications are included drawn from all key areas. The book carefully leads the reader thorough the necessary equations providing information explanations and reasoning where necessary and firmly placing each equation in context.

This text unravels those fundamental physical principles which explain how all matter behaves. It takes us from the foundations of quantum mechanics, through quantum models of atomic, molecular, and electronic structure, and on to discussions of spectroscopy, and the electronic and magnetic properties of molecules.

A basic problem in computer vision is to understand the structure of a real world scene given several images of it. Techniques for solving this problem are taken from projective geometry and photogrammetry. Here, the authors cover the geometric principles and their algebraic representation in terms of camera projection matrices, the fundamental matrix and the trifocal tensor. The theory and methods of computation of these entities are discussed with real examples, as is their use in the reconstruction of scenes from multiple images. The new edition features an extended introduction covering the key ideas in the book (which itself has been updated with additional examples and appendices) and significant new results which have appeared since the first edition. Comprehensive background material is provided, so readers familiar with linear algebra and basic numerical methods can understand the projective geometry and estimation algorithms presented, and implement the algorithms directly from the book.