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  • av Ryan Martin
    189

    This guide is a truly unique and informative book which is full of reliable and time tested information - written for the admirers and owners of this wonderful breed. Easy-to-read and in-depth in its nature - you will thoroughly enjoy your experience with this training guide. A wealth of reliable methods and procedures, alongside detailed advice for current or soon-to-be-owners is contained within. Contributed to by a series of specialist dog trainers, this book is certainly a must have addition to your collection.

  • - Reasoning with Uncertainty
    av Ryan Martin
    686,-

    This book introduces the authors' recently developed approach to inference: the inferential model (IM) framework. This logical framework for exact probabilistic inference does not require the user to input prior information. The book covers the foundational motivations for this new approach, the basic theory behind its calibration properties, ma

  • av Ryan Martin
    262,-

    What would you do if one day you happened to close your eyes and not open them for another twenty years? What would you do once you noticed that the world had changed? Would you fear what you may find? That is the case for a young man who had disregarded everything that was important to him. Once he awakens, he must find the truth. He will have to learn what consequences can come from the regret of silence.

  • - Reasoning with Uncertainty
    av Ryan Martin
    1 338,-

    This book introduces the authors¿ recently developed approach to inference: the inferential model (IM) framework. This logical framework for exact probabilistic inference does not require the user to input prior information. The book covers the foundational motivations for this new approach, the basic theory behind its calibration properties, many important applications, and new directions for research. It explores a new way of thinking compared to existing schools of thought on statistical inference and encourages readers to think carefully about the correct approach to scientific inference.

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