Inference for Functional Data With Applications

Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining; it is the science of exploring large and complex bodies of data in order to discover

This book showcases the innovative research of Professor Skovgaard, by providing in one place a selection of his most important and influential papers. Introductions by colleagues set in context the h

A discrete-time stationary stochastic process with finite variance is said to have long memory if its autocorrelations tend to zero hyperbolically in the lag, i.e. like a power of the lag, as the lag

Advanced Engineering Analysis is a textbook on modern engineering analysis, covering the calculus of variations, functional analysis, and control theory, as well as applications of these disciplines t

This review volume consists of a collection of articles, written by renowned scientists from different countries, on biomimetism and materials science. It starts with a detailed explanation of the fou

MATLAB PROGRAMMING WITH APPLICATIONS FOR ENGINEERS seeks to simultaneously teach MATLAB as a technical programming language while introducing the student to many of the practical functions that make s

Stakhov's results were published in two books in Russian in 1977 and 1984, which have never been translated into English. Here he summarizes those results and adds new informational and arithmetica

Linear Algebra with Applications, Ninth Edition is designed for the introductory course in linear algebra for students within engineering, mathematics, business management, and physics. Updated to inc

Narens presents alternative forms of probability theory for philosophic and scientific application, emphasizing understanding the limits of natural generalizations of standard probability theory, the

This book, suitable for undergraduates in chemistry, describes atomic orbitals in detail and is illustrated by three-dimensional plots of the mathematical functions (no artists' impressions). It then

There is increasing pressure to protect computer networks against unauthorized intrusion, and some work in this area is concerned with engineering systems that are robust to attack. However, no system

This classic, best selling data structures text provides a firm foundation in data abstraction that emphasizes the distinction between specifications and implementation as the basis for an object-orie

The book presents examples of important techniques and theorems for Groups, Lie groups and Lie algebras. This allows the reader to gain understandings and insights through practice. Applications of th

This textbook— appropriate for a one-semester course in classical mechanics at the late undergraduate or early graduate level — presents a fresh, modern approach to mechanics. About 150 exercises, cov

Nanoindentation is ideal for the characterization of inhomogeneous biological materials. However, the use of nanoindentation techniques in biological systems is associated with some distinctively diff

During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and mark

Core Insight：Cross-Domain Data Collaboration: Unlocking Chip PotentialEliminating the "efficiency gap" caused by knowledge silos is the starting point for industry potential. Data doesn't lie; Data Science provides the solution: Through innovation and cross-domain restructuring, we visualize results to become the critical accelerator for boosting efficiency.GenAI Reshaping the Future of SemiconductorsFacing the immense challenge of the slowing pace of Moore's Law, the semiconductor industry urgently requires new breakthroughs. This book is specifically designed to solve the "Efficiency Black Hole" that consumes tens of billions of dollars annually in the industry.The Empowering DTCO Innovation with AI and Machine Learning offers readers a practical DTCO.ML Framework, demonstrating how to leverage Machine Learning (ML) and Generative AI (GenAI) technologies to inject new acceleration into chip manufacturing processes. Learn to master process variability and optimize chip energy efficien

Statistical Methods for Reliability Data, Second Edition (SMRD2) is an essential guide to the most widely used and recently developed statistical methods for reliability data analysis and reliability test planning. Written by three experts in the area, SMRD2 updates and extends the long- established statistical techniques and shows how to apply powerful graphical, numerical, and simulation-based methods to a range of applications in reliability. SMRD2 is a comprehensive resource that describes maximum likelihood and Bayesian methods for solving practical problems that arise in product reliability and similar areas of application. SMRD2 illustrates methods with numerous applications and all the data sets are available on the book’s website. Also, SMRD2 contains an extensive collection of exercises that will enhance its use as a course textbook.The SMRD2's website contains valuable resources, including R packages, Stan model codes, presentation slides, technical notes, information about

*Extensive applications of linear algebra concepts to a variety of real-world situations are provided. Students learn how theories and concepts of linear algebra can help solve modern-day problems.*Abundant computer exercises—more extensive than any other linear algebra book available—help students visualize and discover linear algebra, and allow them to explore more realistic applications that are too computationally intensive to work out by hand. These exercises also give students experience in performing matrix computations.*Worked-out examples illustrate new concepts, making the material less abstract and helping students quickly build their understanding.*Two chapter tests for every chapter help students study for exams and get the practice they need to master the material.*A comprehensive MATLAB® appendix gives users all the information they need to use the latest version of MATLAB.

With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for ad

Fun number skills workbook for 6-7 year olds!DescriptionProgress with Oxford Numbers Age 6-7 builds adding and subtracting skills while helping your child to work independently. Engaging activities, fun characters and stickers keep them motivated and a progress chart captures their achievements. Additional activities and support on oxfordowl.co.uk all help to make progress fun.

This textbook on elementary stochastic calculus is designed for senior undergraduate students in math, economics, and business. Although the material is presented at an introductory level, students sh

Advances in semi-automated high-throughput image data collection routines, coupled with a decline in storage costs and an increase in high-performance computing solutions have led to an exponential su

The book is intended to help analytical chemists feel comfortable with the commonly used statistical operations and make effective use of the results. The emphasis is on computer-based methods that ar

The book is intended to help analytical chemists feel comfortable with the commonly used statistical operations and make effective use of the results. The emphasis is on computer-based methods that ar

This book comprehensively accounts the advances in data-based approaches for hydrologic modeling and forecasting. Eight major and most popular approaches are selected, with a chapter for each — stocha

A straightforward introduction to the statistical analysis of language, designed for those with a non-mathematical background. Using the leading statistics programme 'R', the reader is guided step-by-

Well-suited for the non-statistician, this applications-oriented introduction to multivariate analysis focuses on the fundamental concepts that affect the use of specific techniques rather than the ma

For courses in Digital Communications.Exceptionally accessible, this book presents the often“difficult” concepts of digital communications in aneasy-to- understand manner—without diluting themathemati

Probability models, statistical methods, and the information to be gained from them is vital for work in business, engineering, sciences (including social and behavioral), and other fields. Data must

Unlock Pathway Codes, Reshape Cancer FightProfessor BENJAMIN YAT-MING YUNG, former Professor in the Department of Pharmacology at Chang Gung University College of Medicine, draws on forty years of accumulated research on NPM1/B23 to present the world's first network model of cancer drug resistance and recurrence pathways.This book breaks free from traditional therapy frameworks, delving into the four major characteristics of cancer to reveal the core pathogenesis of nucleolar imbalance and analyze the regulatory mechanisms of seven key pathway categories. The breakthrough QGCT® deconstructs personalized dysregulated pathways for patients, while providing pathway-based supplement applications and clinical solutions.More than just a popular science introduction to cancer knowledge, it offers patients new directions in precision treatment and provides scientific prevention strategies for health-conscious individuals. By integrating cutting-edge science with personalized care, it transform

In today’s fast-evolving corporate landscape, business must pivot toward hyper-realistic ecosystems of cross-functional alignment. This book breaks down across diversified silos, empowering to harmonize granular data-driven strategies with macro-level agility.現此時 公司組態快速變遷 運轉跨功能生態 校準超現實趨勢冊 多元化分析後 再融合 細分資訊築堤 宏觀敏捷 指向策略Drawing on real-world case studies from some of the world’s most adaptable enterprises, this guide unpacks the synergetic potential of integrative scaling, leveraging tactical holism to engineer exponential ROI, Whether you’re leading a Fortune 500 company or a burgeoning startup unlocking the Quantum Paradiams of synergistic growth with transform the way you approach operational fluidity and narrative-driven innovation.研析 世界上適應性較佳公司真實案例 冊 開啟整合規模之協同潛力 依戰術整體性 循工程指數型收益為目標 勿論 你是初學者或領導財富500公司意識 量子範例 改變後同步成長 論述 啟發創新 具流動性步進樣態The future of scalable success begins with unlocking the endless potential of value-forward transcendence. Don’t miss the opportunity to align your strategy w

風險建模演算法 「Abdullah Karasan成功展現了在金融風險管理領域中使用機器學習的能力，這是對任何金融機構都攸關重要的功能。」 ―Yves J. Hilpisch博士 The Python Quants與The AI Machine創辦人及總裁 「如果您需要將統計和機器學習方法應用在金融風險分析的入門指南，那麼這是一個很好的起點。」 ―Graham L. Giller 《Adventures in Financial Data Science》作者 金融風險管理在人工智慧的幫助下發展迅速。透過這本實用指南，開發人員、程式設計師、工程師、金融分析師、風險分析師及定量和演算法分析師，將可以機器學習和深度學習模型進行金融風險評估。建立基於人工智慧的財務建模實務技能後，您將學習要如何運用機器學習模型來取代傳統的金融風險模型。 作者Abdullah Karasan幫助您探索金融風險建模背後的理論，再深入研究使用Python運用機器學習模型以對金融風險進行建模的實際方法。 有了這本書，您將可以： ‧回顧經典的時間序列應用並將其與深度學習模型進行比較 ‧使用支撐向量迴歸、神經網路和深度學習來探索波動率模型以衡量風險程度 ‧使用機器學習技術來改善市場風險模型(VaR和ES)，並包括了流動性維度 ‧使用分群和貝氏方法來進行信用風險分析 ‧使用高斯混合模型和關聯結構模型來捕捉流動性風險的不同面向 ‧使用機器學習模型來進行詐欺偵測 ‧使用機器學習模型來預測股價崩盤並識別其決定因素

DISCOVERING COMPUTERS: DIGITAL TECHNOLOGY, DATA, AND DEVICES, 17th edition, teaches you not only the basics of technology, but also how you will use it -- and the responsibilities that go along with being a digital citizen. Focusing on current technology, the content addresses convergence of devices and platforms. Each module integrates practical how-to tips, ethics issues and security topics, while Consider This boxes woven throughout help you sharpen your critical-thinking skills. A variety of end-of-module activities -- checkpoint questions, small group activities and problem-solving exercises -- enable you to put what you learn into practice. MindTap digital learning solution is also available. Using an inviting approach that ensures understanding, DISCOVERING COMPUTERS equips you with the information you need for success at home, school and work.

Thistitle is a Pearson Global Edition. The editorial team at Pearson has workedclosely with educators around the world to include content which is especiallyrelevant to an international and diverse audience.For courses in computerprogramming.A user-friendly,code-intensive introduction to C programming with case studies introducing applicationsand system programming.C How to Program is a comprehensive introduction toprogramming in C. Like other texts of the Deitels How to Program series,the books modular presentation serves as a detailed, beginner source ofinformation for college students looking to embark on a career in coding, orinstructors and software-development professionals seeking to learn how toprogram with C. The signature Deitel live-code approach presents concepts inthe context of 142 fully working programs rather than incomplete snips of code.This gives students a chance to run each program as they study it and see howtheir learning applies to real-world programming scenari

什麼是生物醫學資訊學專家？他們的工作做些什麼呢？作者Kevin曾是一個像是你我一樣的孩子，但長大後他成為一名生物醫學資訊學專家！Kevin從小就熱愛科學和動物，這種熱情加上他的工程學天賦，使他成為一名專門研究生物醫學資訊學的小兒科醫生——使用資訊科學來改善醫療保健。Who Me? 系列是由科學家本人和范德比大學 (Vanderbilt University)的合著者一同撰寫。透過科學家們鼓舞人心的的傳記，讓小讀者了解到，科學家都是像我們一樣的普通人，因為對學習和發現新事物的熱愛，一路上努力學習，並為自己創造機會並爭取成為科學家的機會，在了解科學家的成長故事的過程中，讀者除了能從中認識基本的科學概念，也能認識科學家現在所從事的尖端研究。What is a biomedical informatics expert? What does he or she do?Meet Kevin, a kid like you and me, who grew up to become a biomedical informatics expert! Kevin grew up loving science and caring for animals, and this passion, combined with his engineering aptitude, turned him into a pediatrician specializing in biomedical informatics — using computers and data science to improve health care.The Who Me? series features inspirational biographies of scientists who young readers will be able to identify with as people like themselves. Written by the scientists themselves and co-authors from Vanderbilt University, the books are designed to help young readers understand that sc