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  • 1
    UID:
    b3kat_BV012682565
    Format: XVI, 411 S. , graph. Darst.
    ISBN: 0387987614
    Series Statement: Springer series in statistics
    Former: Früher u.d.T. Arnold, Barry C. Conditionally specified distributions
    Language: English
    Subjects: Mathematics
    RVK:
    RVK:
    Keywords: Statistisches Modell ; Bedingte Wahrscheinlichkeitsverteilung
    Author information: Castillo, Enrique 1946-
    Author information: Arnold, Barry C. 1939-
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  • 2
    UID:
    b3kat_BV023833452
    Format: 12 S. , graph. Darst.
    Series Statement: Berichte aus der Technomathematik 98,03
    Language: English
    Author information: Castillo, Maribel
    Author information: Benner, Peter 1967-
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  • 3
    Online Resource
    Online Resource
    Cheltenham ; Northampton, MA : Edward Elgar Publishing
    UID:
    b3kat_BV047923779
    Format: 1 Online-Ressource (xiii, 346 Seiten) , Illustrationen
    ISBN: 9781840647693
    Note: Includes bibliographical references and index , 1. NAFTA in the global context -- 2. International integration : theory and practice -- 3. The global economy after World War II -- 4. The United States after World War II -- 5. Canada's economic development and integration -- 6. Mexico's economic development -- 7. North American economic integration : trial by fire -- 8. NAFTA and beyond , This highly accessible book explains the theoretical, historical and political background of the North American Free Trade Agreement (NAFTA), its impact and the debates surrounding its existence. In addition the authors provide a brief introduction to the theory of economic integration as well as a succinct overview of the evolution of the global economy, and the institutions that manage it, in the post World War II period
    Additional Edition: Erscheint auch als Druckausgabe ISBN 1840641029
    Additional Edition: Erscheint auch als Druckausgabe ISBN 1840644125
    Additional Edition: Erscheint auch als Druckausgabe ISBN 9781840641028
    Additional Edition: Erscheint auch als Druckausgabe ISBN 9781840644128
    Language: English
    Subjects: Economics
    RVK:
    Keywords: Nordamerika ; Wirtschaftliche Integration ; Nordamerika ; Freihandel ; Aufsatzsammlung
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 4
    UID:
    b3kat_BV045188032
    Format: 1 Online-Ressource (XI, 309 p)
    ISBN: 9781461556015
    Series Statement: The Springer International Series in Engineering and Computer Science 473
    Content: Artificial neural networks have been recognized as a powerful tool to learn and reproduce systems in various fields of applications. Neural net­ works are inspired by the brain behavior and consist of one or several layers of neurons, or computing units, connected by links. Each artificial neuron receives an input value from the input layer or the neurons in the previ­ ous layer. Then it computes a scalar output from a linear combination of the received inputs using a given scalar function (the activation function), which is assumed the same for all neurons. One of the main properties of neural networks is their ability to learn from data. There are two types of learning: structural and parametric. Structural learning consists of learning the topology of the network, that is, the number of layers, the number of neurons in each layer, and what neurons are connected. This process is done by trial and error until a good fit to the data is obtained. Parametric learning consists of learning the weight values for a given topology of the network. Since the neural functions are given, this learning process is achieved by estimating the connection weights based on the given information. To this aim, an error function is minimized using several well known learning methods, such as the backpropagation algorithm. Unfortunately, for these methods: (a) The function resulting from the learning process has no physical or engineering interpretation. Thus, neural networks are seen as black boxes
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9781461375623
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 5
    UID:
    b3kat_BV042419035
    Format: 1 Online-Ressource (XVI, 416 p)
    ISBN: 9780387225883 , 9780387987613
    Series Statement: Spinger Series in Statistics
    Note: This book is an expanded up-to-date version of our Lecture Notes in Statistics monograph entitled Conditionally Specified Distributions. Chapters in that monograph have been edited, expanded, and brought up-to-date (1998). The concept of conditional specification of distributions is not new but, except in normal families, it has not been well developed in the literature. Computational difficulties undoubtedly hindered or discouraged developments in this direction. However, such roadblocks are of diminished importance today. Questions of compatibility of conditional and marginal specifications of distributions are of fundamental importance in modeling scenarios. Such issues are carefully analyzed in this book. Building on a normal conditionals model, which dates back at least to Bhattacharyya (1943), a broad spectrum of conditionally specified models is developed. Models with conditionals in exponential families are particularly tractable and provide useful models in a broad variety of settings. Chapter 1 covers basic results on characterization of compatibility of conditional distributions and uniqueness of the corresponding joint distribution in a variety of settings. In addition, important functional equation results are presented. These prove to be basic tools in subsequent development of families of distributions with conditionals in specified parametric families. Chapter 2 is focussed on the finite discrete case. In it, a variety of compatibility and near-compatibility results are described
    Language: English
    Keywords: Bedingte Wahrscheinlichkeitsverteilung ; Statistisches Modell
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