New Firm Creation in the United States is the most comprehensive and detailed assessment of how new business come about.  Based on the first US Panel Study of Entrepreneurial Dynamics (PSED I), this study looked at over 130 factors related to business start-ups and focused on nascent entrepreneurs.  Some of its findings include:  · The large number and growth of nascent entrepreneurs · Major factors involved in the start-up process and becoming a nascent entrepreneur are unrelated to completion of the start-up process of a successful new firm · The activities of the start-up process - not the characteristics - impact the transition from start-up to successful new firm · Anybody can do this!  Any person with the knowledge, skills, ideas, drive and the ability to mobilize resources and organize a business can create a new firm.  New Firm Creation in the United States shows the value of tracking a representative sample of entrepreneurs in a longitudinal study.  The implications for public policy are huge in that efforts to increase new start-ups to improve economic growth may be different to those designed to assist disadvantaged groups develop a role in the economy though entrepreneurship.

New Firm Creation in the United States

Business & Money

Reynolds, Paul D.

Business Development & Entrepreneurship

Now Pub

Valuation Approaches and Metrics focuses on the theory and practice of valuation of companies and stocks, providing an invaluable overview of the topic from both a practical and scholarly perspective. Valuation Approaches and Metrics reviews the finance literature on valuation and presents three approaches to valuation: · discounted cash flow valuation relating the value of an asset to the present value of expected future cash flows on that asset. · liquidation and accounting valuation built around valuing the existing assets of a firm using accounting estimates of value or "book value" · relative valuation estimating the value of an asset by looking at the pricing of 'comparable' assets relative to a common variable like earnings, cash flows, book value or sales. Valuation Approaches and Metrics should be required reading for both finance practitioners and researchers.

Valuation Approaches and Metrics: A Survey of the Theory and Evidence (Foundations and Trends(r) in Finance)

Damodaran, Aswath

Economics

Copula Modeling explores the copula approach for econometrics modeling of joint parametric distributions. Copula Modeling demonstrates that practical implementation and estimation is relatively straightforward despite the complexity of its theoretical foundations. An attractive feature of parametrically specific copulas is that estimation and inference are based on standard maximum likelihood procedures. Thus, copulas can be estimated using desktop econometric software. This offers a substantial advantage of copulas over recently proposed simulation-based approaches to joint modeling. Copulas are useful in a variety of modeling situations including financial markets, actuarial science, and microeconometrics modeling. Copula Modeling provides practitioners and scholars with a useful guide to copula modeling with a focus on estimation and misspecification. The authors cover important theoretical foundations. Throughout, the authors use Monte Carlo experiments and simulations to demonstrate copula properties

Copula Modeling: An Introduction for Practioners (Foundations and Trends in Econometrics)

Trivedi, Pravin K.

Zimmer, David M.

Corporate Entrepreneurship provides a thorough review of the literature on this topic and presents a model based on this literature. Corporate entrepreneurship (CE) is increasingly being recognized as a legitimate path to high levels of organizational performance. CE has been promoted in organizations for many reasons including as a growth strategy, to increase profitability, for strategic renewal, innovation, international success, and to develop competitive advantage. Despite the potential positive effects of CE, the theoretical and empirical knowledge about CE and the entrepreneurial behavior on which it is based require greater attention. While there is a broadly held belief in the need for and value of entrepreneurial action on the part of established organizations, much remains to be revealed about how CE strategy is enacted in organizational settings. Corporate Entrepreneurship presents a model of CE based on the extant literature and research. It reviews the empirical and conceptual research that substantiates the many components of the model and describes a corporate entrepreneurship strategy based on that model.

Corporate Entrepreneurship (Foundations and Trends(r) in Entrepreneurship)

Kuratko, Donald F.

Multiple-input multiple-output (MIMO) channels provide an abstract and unified representation of different physical communication systems, ranging from multi-antenna wireless channels to wireless digital subscriber line (DSL) systems. They have the key property that several data streams can be simultaneously established. MIMO Transceiver Design via Majorization Theory presents an up-to-date unified mathematical framework for the design of point-to-point MIMO transceivers with channel state information (CSI) at both sides of the link according to an arbitrary cost function as a measure of the system performance. In addition, the framework embraces the design of systems with given individual performance on the data streams. MIMO Transceiver Design via Majorization Theory is an invaluable resource for researchers and practitioners involved in the state-of-the-art design of MIMO-based communication systems.

MIMO Transciever Design Via Majorization Theory (Foundations and Trends(r) in Communications and Information)

Computers & Technology

Palomar, Daniel P.

Jiang, Yinho

Computer Science

Network Coding Applications looks at how ideas from network coding can have an impact on a number of new applications. Network coding is an elegant and novel technique introduced at the turn of the millennium to improve network throughput and performance. It is expected to be a critical technology for networks of the future. Today, more and more researchers and engineers ask what network coding is, what its benefits are, and how much it costs to design and operate networks implementing network coding. Network Coding Applications deals with wireless and content distribution networks, considered to be the most likely applications of network coding, and it also reviews emerging applications of network coding such as network monitoring and management. Multiple unicasts, security, networks with unreliable links, and quantum networks are also addressed. In tandem with the previous companion text on the theoretical foundations of network coding, Network Coding Applications provides the reader with a comprehensive state-of-the-art of this fast evolving research area.

Network Coding Applications (Foundations and Trends(r) in Networking)

Fragouli, Christina

Soljanin, Emina

Cyclic Division Algebras: A Tool for Space-Time Coding provides a tutorial introduction to the algebraic tools involved in the design of codes based on division algebras. The different design criteria involved are illustrated, including the constellation shaping, the information lossless property, the non-vanishing determinant property and the diversity multiplexing tradeoff. Finally complete mathematical background underlying the construction of the Golden code and the other Perfect Space-Time block codes is given.

Cyclic Division Algebras: A Tool for Space-Time Coding (Foundations and Trends(r) in Communications and Information)

Viterbo, Emanuele

Belfiore, Jean-Claude

Oggier, Frédérique

Functional Form and Heterogeneity in Models for Count Data surveys practical extensions of the Poisson and negative binomial (NB) models that practitioners can employ to refine the specifications or broaden their reach into new situations. The author resolves some inconsistencies of the panel data models with other more familiar results for the linear regression model. Functional Form and Heterogeneity in Models for Count Data is focused on two large issues: · the accommodation of overdispersion and heterogeneity in the basic count framework · the functional form of the conditional mean and the extension of models of heterogeneity to models for panel data and sources of correlation across outcomes The first is more straightforward since, in principle, these are elements of the conditional variance of the distribution of counts that can be analyzed apart from the conditional mean. Robust inference methods for basic models can be relied upon to preserve the validity of estimation and inference procedures. The second feature motivates the development of more intricate models such as the two part, panel and bivariate models presented in the text.

Functional Form and Heterogeneity in Models for Count Data

Greene, William

Statistical Performance Modeling and Optimization reviews various statistical methodologies that have been recently developed to model, analyze and optimize performance variations at both transistor level and system level in integrated circuit (IC) design. The following topics are discussed in detail: sources of process variations, variation characterization and modeling, Monte Carlo analysis, response surface modeling, statistical timing and leakage analysis, probability distribution extraction, parametric yield estimation and robust IC optimization. These techniques provide the necessary CAD infrastructure that facilitates the bold move from deterministic, corner-based IC design toward statistical and probabilistic design. Statistical Performance Modeling and Optimization reviews and compares different statistical IC analysis and optimization techniques, and analyzes their trade-offs for practical industrial applications. It serves as a valuable reference for researchers, students and CAD practitioners.

Statistical Performance Modeling and Optimization

Li, Xin

Le, Jiayong

Pileggi, Lawrence T.

Programming

A Stochastic Grammar of Images is the first book to provide a foundational review and perspective of grammatical approaches to computer vision. In its quest for a stochastic and context sensitive grammar of images, it is intended to serve as a unified frame-work of representation, learning, and recognition for a large number of object categories. It starts out by addressing the historic trends in the area and overviewing the main concepts: such as the and-or graph, the parse graph, the dictionary and goes on to learning issues, semantic gaps between symbols and pixels, dataset for learning and algorithms. The proposal grammar presented integrates three prominent representations in the literature: stochastic grammars for composition, Markov (or graphical) models for contexts, and sparse coding with primitives (wavelets). It also combines the structure-based and appearance based methods in the vision literature. At the end of the review, three case studies are presented to illustrate the proposed grammar. A Stochastic Grammar of Images is an important contribution to the literature on structured statistical models in computer vision.

A Stochastic Grammar of Images

Mumford, David

Zhu, Song-Chun

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