Statistical Inference

An intuitive, yet precise introduction to probability theory, stochastic processes, statistical inference, and probabilistic models used in science, engineering, economics, and related fields. This is

Statistical Design and Analysis of Clinical Trials: Principles and Methods concentrates on the biostatistics component of clinical trials. Developed from the authors’ courses taught to public health a

Discover New Methods for Dealing with High-Dimensional Data A sparse statistical model has only a small number of nonzero parameters or weights; therefore, it is much easier to estimate and interpret

This textbook carefully develops the main ideas and techniques of statistical and thermal physics and is intended for upper-level undergraduate courses. The authors each have more than thirty years'

This graduate-level text gives a self-contained exposition of fundamental topics in equilibrium and nonequilibrium statistical thermodynamics. The text follows a balanced approach between the macroscopic (thermodynamic) and microscopic (statistical) points of view. The first half of the book deals with equilibrium thermodynamics and statistical mechanics. In addition to standard subjects, the reader will find a detailed account of broken symmetries, critical phenomena and the renormalization group, as well as an introduction to numerical methods. The second half of the book is devoted to nonequilibrium phenomena, first following a macroscopic approach, with hydrodynamics as an important example. Kinetic theory receives a thorough treatment through analysis of the Boltzmann-Lorentz model and the Boltzmann equation. The book concludes with general nonequilibrium methods such as linear response, projection method and the Langevin and Fokker-Planck equations, including numerical simulation

This practical guide in Eviews is aimed at practitioners and students in business, economics, econometrics, and finance. It uses a step-by-step approach to equip readers with a toolkit that enables them to make the most of this widely used econometric analysis software. Statistical and econometrics concepts are explained visually with examples, problems, and solutions.Developed by economists, the Eviews statistical software package is used most commonly for time-series oriented econometric analysis. It allows users to quickly develop statistical relations from data and then use those relations to forecast future values of the data. The package provides convenient ways to enter or upload data series, create new series from existing ones, display and print series, carry out statistical analyses of relationships among series, and manipulate results and output. This highly hands-on resource includes more than 200 illustrative graphs and tables and tutorials throughout. Abdulkader Alja

Written specifically for graduate students and practitioners beginning social science research, Statistical Modeling and Inference for Social Science covers the essential statistical tools, models and theories that make up the social scientist's toolkit. Assuming no prior knowledge of statistics, this textbook introduces students to probability theory, statistical inference and statistical modeling, and emphasizes the connection between statistical procedures and social science theory. Sean Gailmard develops core statistical theory as a set of tools to model and assess relationships between variables - the primary aim of social scientists - and demonstrates the ways in which social scientists express and test substantive theoretical arguments in various models. Chapter exercises guide students in applying concepts to data, extending their grasp of core theoretical concepts. Students will also gain the ability to create, read and critique statistical applications in their fields of inte

Statistical inference is the science of drawing conclusions on the basis of information that is subject to randomness. Biostatistics underpins the use of statistical inference in the health and medica

Written specifically for graduate students and practitioners beginning social science research, Statistical Modeling and Inference for Social Science covers the essential statistical tools, models and theories that make up the social scientist's toolkit. Assuming no prior knowledge of statistics, this textbook introduces students to probability theory, statistical inference and statistical modeling, and emphasizes the connection between statistical procedures and social science theory. Sean Gailmard develops core statistical theory as a set of tools to model and assess relationships between variables - the primary aim of social scientists - and demonstrates the ways in which social scientists express and test substantive theoretical arguments in various models. Chapter exercises guide students in applying concepts to data, extending their grasp of core theoretical concepts. Students will also gain the ability to create, read and critique statistical applications in their fields of inte

A valuable new edition of a standard referenceThe use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. An In

Modern statistical methods allow the analyst to fit and assess models as well as to undertake supervised or unsupervised learning to extract information. Contemporary data science requires tight integ

Provides an understanding of statistics in the social sciences. This best-selling introduction to statistical analysis in the social sciences provides the right balance of conceptual understandin

Use real data, and become a pro at using Excel for statistical analysis! Designed for users already familiar with Excel and basic computer operations, this Second Edition of Neil J. Salkind’s Excel St

國際上統計分析所使用之電腦套裝軟體以SAS（Statistical Analysis System）及SPS（Statistical Productand Service Solutions）最為知名，其在各行業之應用也最為普遍。 在國際學術界有個共識，凡是用SAS與SPSS統計分析結果，在學術交流中可以不必說明計算法，由此可見其權威性與信譽度。可是光學會電腦套裝軟體操作，而沒有辨別使用正確統計

This best-selling text is written for those who use, rather than develop statistical methods. Dr. Stevens focuses on a conceptual understanding of the material rather than on proving results. Helpful

James Stevens’ best-selling text, Intermediate Statistics, is written for those who use, rather than develop, statistical techniques. Dr. Stevens focuses on a conceptual understanding of the material

This comprehensive introduction to business statistics text balances a conceptual understanding of statistics with the real-world application of statistical methodology. The latest version of Microsof

This book discusses examples in parametric inference with R. Combining basic theory with modern approaches, it presents the latest developments and trends in statistical inference for students who do

Introduction to Statistical Investigations leads students to learn about the process of conducting statistical investigations from data collection, to exploring data, to statistical inference, to

This book introduces statistical planning and inference, presenting both classical theory and the major developments in the field. Each chapter presents problems and their solutions along with illustr

This textbook on statistical modeling and statistical inference will assist advanced undergraduate and graduate students. Statistical Modeling and Computation provides a unique introduction to modern

Statistical Methods for Dynamic Treatment Regimes shares state of the art of statistical methods developed to address questions of estimation and inference for dynamic treatment regimes, a branch of p

Economic Modeling and Inference takes econometrics to a new level by demonstrating how to combine modern economic theory with the latest statistical inference methods to get the most out of economic d

This textbook systematically presents fundamental methods of statistical analysis, from probability and statistical distributions, through basic concepts of statistical inference, to a collection of m

The second edition of this book is unique in that it focuses on methods for making formal statistical inference from all the models in an a priori set (Multi-Model Inference). A philosophy is presente

Decision-theoretic ideas can structure the process of inference together with the decision-making that inference supports. Statistical decision theory is the sub-discipline of statistics which explore

Differential geometry provides an aesthetically appealing and often revealing view of statistical inference. Beginning with an elementary treatment of one-parameter statistical models and ending with

Under the title 'Information, Inference and Decision' this volume in the Theory and Decision Library presents some papers on issues from the borderland of statistical inference philosophy and epistemo

★☆★國內第一本介紹Rust實戰的專書★☆★【本書特點】☆Rust重要觀念介紹：泛型(Generics)、特徵(Trait)、巨集(Macro)、閉包(Closure)、並行處理(Concurrency)、所有權(Ownership)。☆Rust實戰：機器學習、WebAssembly、區塊鏈(Blockchain)、跨語言整合(FFI)，包括Python、C、JS…等。☆常見應用實作：資料庫存取、網站開發、桌面程式、檔案系統存取…等。【本書目標對象】1. 熟悉C語言的學生或工程師：可學習到最新的程式語言設計理念，改寫或升級舊系統(Legacy system)。2. 熟悉Python語言的學生或工程師：可學習到如何開發安全與高效能的應用系統。3. 同時熟悉C與Python語言的學生或工程師：可學習到如何整合Python與Rust，提升系統開發的生產力。4. 機器學習工程師：可學習如何利用Rust建立高效系統，以提升模型訓練(Training)與推論(Inference)的速度。

統計大師Karl Pearson 說 :「統計是科學的文法(Statistics is the grammar of science)。」統計學是在資料分析的基礎上研究測量、蒐集、整理、歸納、分析資料，以便提出正確資訊的科學。為了有效地推進品質管理，活動中蒐集有關品質之資料，解析資料的方法就顯得重要。此處將此常用的統計方法稱為品管的統計方法（Statistical Quality Control;

美國精神醫學會出版的的精神疾病診斷與統計 (The American Psychiatric Association's Diagnostic and Statistical Manual of Mental Disorders; DSM) 一書透過相關的診斷準則進行精神疾病分類，以促進這些疾病診斷的可靠性。隨著一再的出版，在過去 60 年來，它已成為臨床實踐中精神衛生領域的標準參考。因為要完整描

序言： Diagnostic and Statistical Manual of Mental Disorders(DSM-5®; American Psychiatric Association 2013) 是一本內容詳盡的精神疾病手冊。它提供每個疾病的診斷準則，並且從發展、基因、性格等多樣化的角度討論這個障礙症。我希望這本《DSM-5® 診斷考試口袋書》能作

Valuation and Risk Management in Energy Markets surveys the mechanics of energy markets and the valuation of structures commonly arising in practice. The presentation balances quantitative issues and practicalities facing portfolio managers, with substantial attention paid to the ways in which common methods fail in practice and to alternative methods when they exist. The material spans basic fundamentals of markets, statistical analysis of price dynamics, and a sequence of increasingly challenging structures, concluding with issues arising at the enterprise level. In totality, the material has been selected to provide readers with the analytical foundation required to function in modern energy trading and risk management groups.