1.

Record Nr.

UNINA9910789942103321

Autore

Reddy P. Jayarama

Titolo

Solar power generation : technology, new concepts & policy / / P. Jayarama Reddy

Pubbl/distr/stampa

Boca Raton [Fla.] : , : CRC Press, , 2012

ISBN

0-429-18535-9

0-203-10941-4

Descrizione fisica

1 online resource (249 p.)

Classificazione

BUS094000TEC009010TEC031010

Disciplina

621.31/244

Soggetti

Photovoltaic power generation

Solar energy

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

A Balkema book.

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

Front Cover; Dedication; Contents; Foreword; Acknowledgements; 1. Introduction; 2. Silicon solar cells; 3. Polycrystalline CIGS and CdTe thin film solar cells; 4. Organic and dye-sensitized solar cells; 5. High-efficiency solar devices; 6. New concepts based solar cells; 7. Policies and Incentives; Annexure; Back Cover

Sommario/riassunto

This book provides an overview of the current state of affairs in the field of solar power engineering from a global perspective. In four parts, this well-researched volume informs about (1) established solar PV (photovoltaic) technologies; (2) third-generation PV technologies based on new materials with potential for low-cost large-scale production; (3) solar cell technology based on new (third-generation) concepts such as quantum dot solar cells and nano wire solar cells using silicon and compound semiconductors; and (4) economic implications and effects, as well as policies and incentives in various countries of the world involved with solar energy implementation. Besides manufacturing facts and implementation issues, special emphasis is placed on the implications of policy measures in countries with good PV activity, such as Japan, China, India, Germany, Spain, France, Italy, the United States, and Canada. The volume is intended as a reference text for a global audience of advanced students, R& D and industry professionals, as well as investors and policy-makers with fundamental knowledge of photovoltaic technology--



2.

Record Nr.

UNISA996577964503316

Titolo

International Conference on Semantic Computing : 17-19 September 2007, Irvine, CA, USA / / Institute of Electrical and Electronics Engineers

Pubbl/distr/stampa

Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2007

ISBN

1-5090-8250-6

Descrizione fisica

1 online resource (136 pages)

Disciplina

004.6

Soggetti

Computer networks

Semantic Web

Web site development

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia



3.

Record Nr.

UNINA9910438241403321

Titolo

Handbook of causal analysis for social research / / Stephen L Morgan, editor

Pubbl/distr/stampa

Dordrecht, : Springer, 2013

ISBN

94-007-6094-9

Edizione

[1st ed. 2013.]

Descrizione fisica

1 online resource (424 p.)

Collana

Handbooks of sociology and social research

Altri autori (Persone)

MorganStephen L

Disciplina

300.72

Soggetti

Social sciences - Research

Sociology - Research

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

Preface -- Chapter 1. Introduction; Stephen L. Morgan -- Part I. Background and Approaches to Analysis -- Chapter 2. A History of Causal Analysis in the Social Sciences; Sondra N. Barringer, Erin Leahey and Scott R. Eliason -- Chapter 3. Types of Causes; Jeremy Freese and J. Alex Kevern -- Part II. Design and Modeling Choices -- Chapter 4. Research Design: Toward a Realistic Role for Causal Analysis; Herbert L. Smith -- Chapter 5. Causal Models and Counterfactuals; James Mahoney, Gary Goertz and Charles C. Ragin -- Chapter 6. Mixed Models and Counterfactuals; David J. Harding and Kristin S. Seefeldt -- Part III. Beyond Conventional Regression Models -- Chapter 7. Fixed Effects, Random Effects, and Hybrid Models for Causal Analysis; Glenn Firebaugh, Cody Warner, and Michael Massoglia -- Chapter 8. Heteroscedastic Regression Models for the Systematic Analysis of Residual Variance; Hui Zheng, Yang Yang and Kenneth C. Land -- Chapter 9. Group Differences in Generalized Linear Models; Tim F. Liao -- Chapter 10. Counterfactual Causal Analysis and Non-Linear Probability Models; Richard Breen and Kristian Bernt Karlson -- Chapter 11. Causal Effect Heterogeneity; Jennie E. Brand and Juli Simon Thomas -- Chapter12. New Perspectives on Causal Mediation Analysis; Xiaolu Wang and Michael E. Sobel -- Part IV. Systems and Causal Relationships -- Chapter 13. Graphical Causal Models; Felix Elwert -- Chapter 14. The Causal Implications of  Mechanistic Thinking: Identification Using Directed Acyclic Graphs (DAGs); Carly R. Knight and Christopher



Winship -- Chapter 15. Eight Myths about Causality and Structural Equation Models; Kenneth A. Bollen and Judea Pearl -- Part V. Influence and Interference -- Chapter 16. Heterogeneous Agents, Social Interactions, and Causal Inference; Guanglei Hong and Stephen W. Raudenbush -- Chapter 17. Social Networks and Causal Inference; Tyler J. VanderWeele and Weihua An -- Part VI. Retreat From Effect Identification -- Chapter 18. Partial Identification and Sensitivity Analysis; Markus Gangl -- Chapter 19. What You can Learn from Wrong Causal Models; Richard Berk, Lawrence Brown, Edward George, Emil Pitkin, Mikhail Traskin, Kai Zhang and Linda Zhao.

Sommario/riassunto

What constitutes a causal explanation, and must an explanation be causal? What warrants a causal inference, as opposed to a descriptive regularity? What techniques are available to detect when causal effects are present, and when can these techniques be used to identify the relative importance of these effects? What complications do the interactions of individuals create for these techniques? When can mixed methods of analysis be used to deepen causal accounts? Must causal claims include generative mechanisms, and how effective are empirical methods designed to discover them? The Handbook of Causal Analysis for Social Research tackles these questions with nineteen chapters from leading scholars in sociology, statistics, public health, computer science, and human development.  .