Basic Statistics

During the past half-century, exponential families have attained a position at the center of parametric statistical inference. Theoretical advances have been matched, and more than matched, in the world of applications, where logistic regression by itself has become the go-to methodology in medical statistics, computer-based prediction algorithms, and the social sciences. This book is based on a one-semester graduate course for first year Ph.D. and advanced master's students. After presenting the basic structure of univariate and multivariate exponential families, their application to generalized linear models including logistic and Poisson regression is described in detail, emphasizing geometrical ideas, computational practice, and the analogy with ordinary linear regression. Connections are made with a variety of current statistical methodologies: missing data, survival analysis and proportional hazards, false discovery rates, bootstrapping, and empirical Bayes analysis. The book con

本教材在上一版的基礎上，結合實踐經驗和教學改革，完善和更新而成。圍繞初學者特點，本書既致力於闡述Visual Basic程序設計的基礎知識、基本技術和基本方法；又融合豐富詳實的案例，著眼於數據管理和數據處理的Visual Basic實用性。本教材分為5篇共11章。基礎篇介紹Visual Basic的概述、常用對象及其應用程序設計步驟；程序設計篇介紹Visual Basic程序設計基礎、結構化程序設

本書著重介紹Visual Basic編程的基礎知識和基本方法，同時加強了結構化程序設計和常用算法的訓練，並深入淺出地介紹了面向對象的程序設計方法。全書共分11章，主要內容有Visual Basic 6．0程序設計概述、Visual Basic語言基礎、控制結構的程序設計、數組及應用、過程與函數、常用控件與系統對象、圖形及應用、文件及應用、對話框與菜單程序設計、多文檔界面與工具欄設計、數據庫編程基礎

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This lucid, accessible introduction to supervised machine learning presents core concepts in a focused and logical way that is easy for beginners to follow. The author assumes basic calculus, linear algebra, probability and statistics but no prior exposure to machine learning. Coverage includes widely used traditional methods such as SVMs, boosted trees, HMMs, and LDAs, plus popular deep learning methods such as convolution neural nets, attention, transformers, and GANs. Organized in a coherent presentation framework that emphasizes the big picture, the text introduces each method clearly and concisely “from scratch” based on the fundamentals. All methods and algorithms are described by a clean and consistent style, with a minimum of unnecessary detail. Numerous case studies and concrete examples demonstrate how the methods can be applied in a variety of contexts.

This lucid, accessible introduction to supervised machine learning presents core concepts in a focused and logical way that is easy for beginners to follow. The author assumes basic calculus, linear algebra, probability and statistics but no prior exposure to machine learning. Coverage includes widely used traditional methods such as SVMs, boosted trees, HMMs, and LDAs, plus popular deep learning methods such as convolution neural nets, attention, transformers, and GANs. Organized in a coherent presentation framework that emphasizes the big picture, the text introduces each method clearly and concisely “from scratch” based on the fundamentals. All methods and algorithms are described by a clean and consistent style, with a minimum of unnecessary detail. Numerous case studies and concrete examples demonstrate how the methods can be applied in a variety of contexts.

Do you want to know what a parametric test is and when not to perform one? Do you get confused between odds ratios and relative risks? Want to understand the difference between sensitivity and specificity? Would like to find out what the fuss is about Bayes' theorem? Then this book is for you! Physicians need to understand the principles behind medical statistics. They don't need to learn the formula. The software knows it already! This book explains the fundamental concepts of medical statistics so that the learner will become confident in performing the most commonly used statistical tests. Each chapter is rich in anecdotes, illustrations, questions, and answers. Not enough? There is more material online with links to free statistical software, webpages, multimedia content, a practice dataset to get hands-on with data analysis, and a Single Best Answer questionnaire for the exam.

在資訊爆炸的時代，懂統計就是一種看穿世界的能力。本書以生活化案例帶你理解數據如何被解讀與誤解，幫助你建立清晰判斷力。從醫療、新聞到社會議題，都是一場關於「如何不被數字欺騙」的思考訓練。The "important and comprehensive" (New Yorker) guide to statistical thinkingThe age of big data has made statistical literacy more important than ever. In The Art of Statistics, David Spiegelhalter shows how to apply statistical reasoning to real-world problems. Whether we're analyzing preventative medical screening or the terrible crime sprees of serial killers, Spiegelhalter teaches us how to clarify questions, assumptions, and expectations and, most importantly, how to interpret the answers we receive. Combining the incomparable insight of an expert with the playful enthusiasm of an aficionado, The Art of Statistics is the definitive guide to the power of data. "A call to arms for greater societal data literacy . . . a reminder that there are passionate, self-aware statisticians who can argue eloquently that their discipline is needed now more than ever." -- Financial Times

Designed for a single-semester course, this concise and approachable text covers all of the essential concepts needed to understand modern communications systems. Balancing theory with practical implementation, it presents key ideas as a chain of functions for a transmitter and receiver, covering topics such as amplification, up- and down-conversion, modulation, dispersive channel compensation, error-correcting codes, acquisition, multiple-antenna and multiple-input multiple-output antenna techniques, and higher level communications functions. Analog modulations are also presented, and all of the basic and advanced mathematics, statistics, and Fourier theory needed to understand the concepts covered is included. Supported online with PowerPoint slides, a solutions manual, and additional MATLAB-based simulation problems, it is ideal for a first course in communications for senior undergraduate and graduate students.

《Visual Basic程序設計實用教程》針對初學者的特點，較為系統和詳細地介紹了Visual Basic語言的基礎知識和語法、程序設計方法和開發數據庫的方法。《Visual Basic程序設計實用教程》共分9章，主要內容包括：Visual Basic概述、窗體和菜單、基本控件、數據類型與表達式、Visual Basic控制結構、數組、過程、文件、數據庫應用基礎等。每章均含有豐富的知識點，并配有

本書是與《Visual Basic程序設計》配套使用的教材。全書第一部分為實驗與習題，共分10章，設52個實驗；第二部分為模擬練習，包括6套模擬練習題。學生可以通過本書的學習進一步提升Visual Basic語言編程能力，同時有助於學生順利通過計算機等級考試Visual Basic二級考試。 本書適合作為高等院校非計算機專業Visual Basic程序設計語言課程的實驗教材，也可作為計算機等級考

Who decides how official statistics are produced? Do politicians have control or are key decisions left to statisticians in independent statistical agencies? Interviews with statisticians in Australia, Canada, Sweden, the UK and the USA were conducted to get insider perspectives on the nature of decision making in government statistical administration. While the popular adage suggests there are 'lies, damned lies and statistics', this research shows that official statistics in liberal democracies are far from mistruths; they are consistently insulated from direct political interference. Yet, a range of subtle pressures and tensions exist that governments and statisticians must manage. The power over statistics is distributed differently in different countries, and this book explains why. Differences in decision-making powers across countries are the result of shifting pressures politicians and statisticians face to be credible, and the different national contexts that provide distincti

EVERYTHING YOU NEED TO SCORE A PERFECT 5―now with 2x the practice of previous editions!Ace the AP Statistics Exam with this comprehensive study guide, including 4 full-length practice tests with answe

本書根據教育部考試中心最新頒佈的《全國計算機等級考試二級Visual Basic考試大綱》編寫而成。本書以Visual Basic 6.0中文版為背景，詳細介紹了Visual Basic程序設計的基本知識、窗體與常用控件、語言基礎、三種基本結構、數組、過程、文件、編程方法和常用算法，同時將可視化界面設計與程序設計語言有機地結合，通過內容豐富的實例較系統地介紹了使用Visual Basic開發Win

《Visual Basic從入門到精通(微視頻精編版)》從初、中級讀者的角度出發，以通俗易懂的語言、豐富多彩的實例，全面講述了使用Visual Basic 6.0進行程序開發必備的知識和技能。全書分為4篇22章，主要包括開啟Visual Basic之旅、Visual Basic語言基礎、程序控制語句、數組、系統內置函數、過程、窗體與界面設計、常用標準控件、常用ActiveX控件、菜單、工具欄和狀態

The Fourth Edition of Statistics: A Gentle Introduction shows students that an introductory statistics class doesn’t need to be difficult or dull. This text minimizes students’ anxieties about math by

For students anxious about statistics, this hands-on workbook is packed with clear explanations, real-world examples and practical exercises to gain the necessary maths skills to tackle statistics wit

For students anxious about statistics, this hands-on workbook is packed with clear explanations, real-world examples and practical exercises to gain the necessary maths skills to tackle statistics wit

Statistics, Data Mining, and Machine Learning in Astronomy is the essential introduction to the statistical methods needed to analyze complex data sets from astronomical surveys such as the Panoramic

IBM SPSS Statistics 26 Step by Step: A Simple Guide and Reference, sixteenth edition, takes a straightforward, step-by-step approach that makes SPSS software clear to beginners and experienced researc

Basic Photographic Materials and Processes describes the three crucial stages of creating the perfect photograph-capture, processing and output-by providing a thorough technical investigation of moder

"Whether you are learning on your own with a textbook or taking a beginning class, Practice Makes Perfect: Basic Portuguese will support your study and build your confidence in your new language. Each

本書按照教育部高等學校大學計算機課程教學指導委員會2016年1月制定的《大學計算機基礎課程教學基本要求》和全國計算機等級考試二級Visual Basic語言程序設計考試大綱(2018年版)最新要求，結合二級考試需求和應用型創新人才培養目標，以簡單易學的Visual Basic 6.0為平臺，詳細介紹面向對象程序設計的基本知識和方法。 全書共9章，主要內容包括Visual Basic程序設計概述、

Peterson's® Master™ the EMT Basic Certification Exam is a comprehensive source that offers the essential test prep needed to help readers score their best on the qualifying exam to become an emergency

The Basic Cookbook Guide is the essential reference guide for simple home cooking.It features all those timeless recipes you grew up with, as well as the modern classics entering our cuisine.You’ll le

Creating Professional Characters: Develop Spectacular Designs from Basic Concepts is an inspiring and informative exploration of how popular professional character designers take the basic concept of

Advocated (and attacked) by commentators across the political spectrum, paying every citizen a basic income regardless of their circumstances sounds utopian. However, as our economies are transformed

Advocated (and attacked) by commentators across the political spectrum, paying every citizen a basic income regardless of their circumstances sounds utopian. However, as our economies are transformed

Discover how to embrace your best basic self in this laugh-out-loud funny guidebook from the breakout star of Bravo’s hit reality show Vanderpump Rules, perfect for fans of the relatable and ent

Reinforce your understanding of nursing pharmacology! Corresponding to the chapters from the main text, the Study Guide for Clayton's Basic Pharmacology for Nurses, 18th Edition provides you with addi

Basic Concepts of Health Care Human Resource Management, Second Edition is a comprehensive overview of the role of Human Resource Management (HRM) in all aspects of healthcare management. Beginning wi

Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a

This compilation of R. A. Torrey's writings on the basic "how to's" of the Christian life is an easy-to-use handbook on how to grow in faith and in spiritual maturity. As one of the

Straightforward, practical, and focused on realistic examples, Business and Professional Writing: A Basic Guide is an introduction to the fundamentals of professional writing. The book emphasizes clar

Functional MRI: Basic Principles and Emerging Clinical Applications provides an overview of the basic principles of fMRI for clinicians with minimal knowledge of the imaging technique and its research

For one- or two-semester courses in Probability, Probability & Statistics, or Mathematical Statistics. An authoritative introduction to an in-demand field Advances in computing technology &n

Understand the benefits of robust statistics for signal processing with this authoritative yet accessible text. The first ever book on the subject, it provides a comprehensive overview of the field, moving from fundamental theory through to important new results and recent advances. Topics covered include advanced robust methods for complex-valued data, robust covariance estimation, penalized regression models, dependent data, robust bootstrap, and tensors. Robustness issues are illustrated throughout using real-world examples and key algorithms are included in a MATLAB Robust Signal Processing Toolbox accompanying the book online, allowing the methods discussed to be easily applied and adapted to multiple practical situations. This unique resource provides a powerful tool for researchers and practitioners working in the field of signal processing.