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1. |
Record Nr. |
UNINA9910454701603321 |
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Autore |
Joekes Susan P |
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Titolo |
La concurrence et le développement [[electronic resource] ] : la puissance des marchés concurrentiels / / par Susan Joekes et Phil Evans |
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Pubbl/distr/stampa |
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Ottawa [Ont.], : Centre de recherches pour le développement international, c2008 |
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ISBN |
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1-281-72808-X |
9786611728083 |
1-55250-406-9 |
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Descrizione fisica |
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1 online resource (124 p.) |
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Collana |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Competition - Developing countries |
Competition, Unfair - Developing countries |
Restraint of trade - Developing countries |
Antitrust law - Developing countries |
Free trade - Developing countries |
Trade regulation - Developing countries |
International trade |
Electronic books. |
Developing countries Economic policy |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Also published in English under the title: Competition and development, the power of competitive markets. |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Table des matières; Sommaire; Avant-propos; Remerciements; Chapitre premier. L'enjeu; Chapitre 2. L'approche; Chapitre 3. L'expérience des pays en développement; Chapitre 4. Recommandations, actions et outils; Glossaire et sigles; Bibliographie |
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Sommario/riassunto |
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La croissance de la privatisation ainsi que du commerce et de l'investissement internationaux, de même que la multiplication des accords commerciaux bilatéraux et multilatéraux ont accentué l'intégration économique, ce qui a touché presque tous les pays du monde. Cette nouvelle dépendance à l'égard de l'entreprise privée a engendré de nombreux changements dans la structure économique et la capacité de production des pays en développement. Toutefois, elle a |
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aussi fait croître la vulnérabilité des pays en développement face à de nouveaux types nuisibles de pratiques commerciales anticoncurrentie |
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2. |
Record Nr. |
UNINA9910299963003321 |
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Autore |
Kass Robert E. |
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Titolo |
Analysis of Neural Data / / by Robert E. Kass, Uri T. Eden, Emery N. Brown |
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Pubbl/distr/stampa |
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New York, NY : , : Springer New York : , : Imprint : Springer, , 2014 |
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ISBN |
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Edizione |
[1st ed. 2014.] |
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Descrizione fisica |
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1 online resource (663 p.) |
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Collana |
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Springer Series in Statistics, , 2197-568X |
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Disciplina |
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Soggetti |
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Biometry |
Neurosciences |
Neuropsychology |
Statistics |
Biostatistics |
Neuroscience |
Statistical Theory and Methods |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters and indexes. |
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Nota di contenuto |
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Introduction -- Exploring Data -- Probability and Random Variables -- Random Vectors -- Important Probability Distributions -- Sequences of Random Variables -- Estimation and Uncertainty -- Estimation in Theory and Practice -- Uncertainty and the Bootstrap -- Statistical Significance -- General Methods for Testing Hypotheses -- Linear Regression -- Analysis of Variance -- Generalized Regression -- Nonparametric Regression -- Bayesian Methods -- Multivariate Analysis -- Time Series -- Point Processes -- Appendix: Mathematical Background -- Example Index -- Index -- Bibliography. |
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Sommario/riassunto |
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Continual improvements in data collection and processing have had a huge impact on brain research, producing data sets that are often large and complicated. By emphasizing a few fundamental principles, and a |
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handful of ubiquitous techniques, Analysis of Neural Data provides a unified treatment of analytical methods that have become essential for contemporary researchers. Throughout the book ideas are illustrated with more than 100 examples drawn from the literature, ranging from electrophysiology, to neuroimaging, to behavior. By demonstrating the commonality among various statistical approaches the authors provide the crucial tools for gaining knowledge from diverse types of data. Aimed at experimentalists with only high-school level mathematics, as well as computationally-oriented neuroscientists who have limited familiarity with statistics, Analysis of Neural Data serves as both a self-contained introduction and a reference work. |
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