Data Structures Using C

C# 2010 offers powerful new features, and this book is the fastest path to mastering them—and the rest of C#—for both experienced C# programmers moving to C# 2010 and programmers moving to C# from ano

In 2003, demographers at INDEPTH Network formed the Migration and Urbanization Working Group to provide a different view of migration than other studies by using a different data structure. Among the

International contributors provide the first examination of the growing subject of regional knowledge-economy development. Illustrated by data and 'stylized' accounts, the international contributors c

Dealing with the volume, complexity, and diversity of data currently being generated by scientific experiments and simulations often causes scientists to waste productive time. Scientific Data Managem

This investigation proposes a conceptual framework for measurement necessary for an analysis of household finance and economic development. The authors build on and, where appropriate, modify corporate financial accounts to create balance sheets, income statements, and statements of cash flows for households in developing countries, using an integrated household survey. The authors also illustrate how to apply the accounts to an analysis of household finance that includes productivity of household enterprises, capital structure, liquidity, financing, and portfolio management. The conceptualization of this analysis has important implications for measurement, questionnaire design, the modeling of household decisions, and the analysis of panel data.

Using a rigorous and concise framework, this book teaches the foundations of modern macroeconomic theory and its methods. It is ideally suited for students taking a first graduate course in macroeconomics as part of an MBA, finance, or economics degree. The book explains recent advances of modern macroeconomic theory with respect to growth, business cycles, and asset pricing by focusing on aspects of firm and household behavior that are embedded in modern macroeconomic studies. Throughout the book data issues are discussed in detail: where to find the data, how to download it, and the correspondence of data with model predictions. The mathematical level assumes that students have taken a course in calculus. With its emphasis on dynamic inter-temporal macroeconomics and the use of data, the book provides students with a core toolkit that will equip them both for more advanced study and for professional careers as economists.

The crisis threatens the welfare of about 160 million people in the Europe and Central Asia (ECA) region who are poor or are just above the poverty line. Using pre-crisis household data along with agg

Business intelligence (BI) software is the code and tools that allow you to view different components of a business using a single visual platform, making comprehending mountains of data easier. Appli

This investigation proposes a conceptual framework for measurement necessary for an analysis of household finance and economic development. The authors build on and, where appropriate, modify corporate financial accounts to create balance sheets, income statements, and statements of cash flows for households in developing countries, using an integrated household survey. The authors also illustrate how to apply the accounts to an analysis of household finance that includes productivity of household enterprises, capital structure, liquidity, financing, and portfolio management. The conceptualization of this analysis has important implications for measurement, questionnaire design, the modeling of household decisions, and the analysis of panel data.

This text gives budding actuaries and financial analysts a foundation in multiple regression and time series. They will learn about these statistical techniques using data on the demand for insurance, lottery sales, foreign exchange rates, and other applications. Although no specific knowledge of risk management or finance is presumed, the approach introduces applications in which statistical techniques can be used to analyze real data of interest. In addition to the fundamentals, this book describes several advanced statistical topics that are particularly relevant to actuarial and financial practice, including the analysis of longitudinal, two-part (frequency/severity), and fat-tailed data. Datasets with detailed descriptions, sample statistical software scripts in 'R' and 'SAS', and tips on writing a statistical report, including sample projects, can be found on the book's Web site: http://research.bus.wisc.edu/RegActuaries.

This unified volume is a collection of invited chapters presenting recent developments in the field of data analysis, with applications to reliability and inference, data mining, bioinformatics, lifet

Due to strong potential applications and more demanding requirements imposed upon long and thick cylindrical structures, there has been increasing research and development activities during recent ye

Taking an approach to the subject that is suitable for a broad readership, Discrete Mathematics: Proofs, Structures, and Applications, Third Edition provides a rigorous yet accessible exposition of di

Clinical Data-Mining (CDM) involves the conceptualization, extraction, analysis, and interpretation of available clinical data for practice knowledge-building, clinical decision-making and practition

Data compression is one of the most important fields and tools in modern computing. From archiving data, to CD-ROMs, and from coding theory to image analysis, many facets of modern computing rely upon

Using ethnographic data from several immigrant farmworker communities in Florida, Schmidt unravels the embedded structural inequalities of U.S. society and the ideological discourses that mask them. T

The Classic Guide to Winning on Wall Street—Completely Updated and Expanded!“The best book about investing? The answer is simple:Winning the Loser’s Game. Using compelling data and pithy stories, Char

This book was first published in 1995. The problem of disparities between different estimates of GDP is well known and widely discussed. Here, the authors describe a method for examining the discrepancies using a technique allocating them with reference to data reliability. The method enhances the reliability of the underlying data and leads to maximum-likelihood estimates. It is illustrated by application to the UK national accounts for the period 1920–1990. The book includes a full set of estimates for this period, including runs of industrial data for the period 1948–1990, which are longer than those available from any other source. The statistical technique allows estimates of standard errors of the data to be calculated and verified; these are presented both for data in levels and for changes in variables over 1-, 2- and 5-year periods.

Synthesizing knowledge acquired as a result of significant research and development over recent years, Smart Structures clearly illustrates why these structures are of such intense current interest. G

This book focuses on tools and techniques for building valid regression models using real-world data. A key theme throughout the book is that it only makes sense to base inferences or conclusions on v

This book focuses on tools and techniques for building regression models using real-world data and assessing their validity. A key theme throughout the book is that it makes sense to base inferences o

Using a rich array of ethnographic and archival data closely considering the Irish and the manner in which a€?Irishnessa€? was rendered inclusive, Multiculturalism's Double Bind demonstrates that mult

Jackson (Political Science, Bowling Green State University) returns with a new edition of his essential text about how young people acquire and hold political beliefs over time. Using data from the U.

This book is a fascinating and entirely original work about the role of the Cyprus Attorney General’s Office in prosecutions. It is based on data gathered using an impressive blend of methods, includi

Two dozen tunes playable on guitar using only G, C and D chords. Includes: Agnus Dei * Because We Believe * Enough * Father I Adore You * Here I Am to Worship * Lord I Lift Your Name on High * More P

Like a data-guzzling turbo engine, advanced data mining has been powering post-genome biological studies for two decades. Reflecting this growth, Biological Data Mining presents comprehensive data min

Bayesian Missing Data Problems: EM, Data Augmentation and Noniterative Computation presents solutions to missing data problems through explicit or noniterative sampling calculation of Bayesian posteri

This book presents the basic procedures for utilizing SAS Enterprise Guide to analyze statistical data. SAS Enterprise Guide is a graphical user interface (point and click) to the main SAS application. Each chapter contains a brief conceptual overview and then guides the reader through concrete step-by-step examples to complete the analyses. The eleven sections of the book cover a wide range of statistical procedures including descriptive statistics, correlation and simple regression, t tests, one-way chi square, data transformations, multiple regression, analysis of variance, analysis of covariance, multivariate analysis of variance, factor analysis, and canonical correlation analysis. Designed to be used either as a stand-alone resource or as an accompaniment to a statistics course, the book offers a smooth path to statistical analysis with SAS Enterprise Guide for advanced undergraduate and beginning graduate students, as well as professionals in psychology, education, business, hea

This book presents the basic procedures for utilizing SAS Enterprise Guide to analyze statistical data. SAS Enterprise Guide is a graphical user interface (point and click) to the main SAS application. Each chapter contains a brief conceptual overview and then guides the reader through concrete step-by-step examples to complete the analyses. The eleven sections of the book cover a wide range of statistical procedures including descriptive statistics, correlation and simple regression, t tests, one-way chi square, data transformations, multiple regression, analysis of variance, analysis of covariance, multivariate analysis of variance, factor analysis, and canonical correlation analysis. Designed to be used either as a stand-alone resource or as an accompaniment to a statistics course, the book offers a smooth path to statistical analysis with SAS Enterprise Guide for advanced undergraduate and beginning graduate students, as well as professionals in psychology, education, business, hea

Structures that are essential for economy and security such as energy production, transportation and supply, water supply, buildings, are susceptible to failure, because of defects already present in

Using examples from real classrooms, this insightful book demonstrates how gathering and analyzing data about patterns in verbal and nonverbal classroom communication can boost the learning process.

Failure to appreciate the full dimensions of data protection can lead to poor data protection management, costly resource allocation issues, and exposure to unnecessary risks. Data Protection: Governa

Behaviour of Steel Structures in Seismic Areas comprises the latest progress in both theoretical and experimental research on the behaviour of steel structures in seismic areas. The book presents the

The book introduces a new approach to macroeconomics based on endogenous market structures (EMSs), with a close focus on business cycles, international trade and policy and growth. Chapter 1 reviews t

This book constitutes the refereed proceedings of the 17th International Conference on Conceptual Structures, ICCS 2009, which took place in Moscow, Russia, on July 26-31, 2009. The 18 papers presente

The LNCS Journal on Data Semantics is devoted to the presentation of notable work that, in one way or another, addresses research and development on issues related to data semantics. The scope of the

Structures that are essential for economy and security such as energy production, transportation and supply, water supply, buildings, are susceptible to failure, because of defects already present in

本書涵蓋了最新的Mac編程技術，包括Xcode 3、Objective-C 2.0、Core Data、垃圾收集器，以及CoreAnimation。系統介紹了Objective-C語言、Cocoa主要的設計模式、必要的開發工具Xcode、Interface Builder和 Instruments。全書以具體的實例貫穿，引導讀者通過實踐學習Cocoa框架的基本思想。閱讀這本書不要求任何的Mac編程

First published in 1993, this thesis is concerned with the design of efficient algorithms for listing combinatorial structures. The research described here gives some answers to the following questions: which families of combinatorial structures have fast computer algorithms for listing their members? What general methods are useful for listing combinatorial structures? How can these be applied to those families which are of interest to theoretical computer scientists and combinatorialists? Amongst those families considered are unlabelled graphs, first order one properties, Hamiltonian graphs, graphs with cliques of specified order, and k-colourable graphs. Some related work is also included, which compares the listing problem with the difficulty of solving the existence problem, the construction problem, the random sampling problem, and the counting problem. In particular, the difficulty of evaluating Pólya's cycle polynomial is demonstrated.

Programmers, administrators, and others who handle data can learn by example from the best practitioners in the field. "Beautiful Data" lets readers look over the shoulders of prominent designers for