Rachel c m warnock (22 risultati)

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Paperback or Softback. Condizione: New. Understanding the Tripartite Approach to Bayesian Divergence Time Estimation. Book.

Paperback. Condizione: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Paperback. Condizione: New. Placing evolutionary events in the context of geological time is a fundamental goal in paleobiology and macroevolution. In this Element we describe the tripartite model used for Bayesian estimation of time calibrated phylogenetic trees. The model can be readily separated into its component models: the substitution model, the clock model and the tree model. We provide an overview of the most widely used models for each component and highlight the advantages of implementing the tripartite model within a Bayesian framework.…

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Condizione: New. In English.

Condizione: New. 2021. Paperback. . . . . .

Paperback. Condizione: Brand New. 75 pages. 9.00x6.00x0.11 inches. In Stock.

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Condizione: New. 2021. Paperback. . . . . . Books ship from the US and Ireland.

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Paperback / softback. Condizione: New. New copy - Usually dispatched within 3 working days.

Condizione: New. 1st edition NO-PA16APR2015-KAP.

Taschenbuch. Condizione: Neu. Neuware - Placing evolutionary events in the context of geological time is a fundamental goal in paleobiology and macroevolution. In this Element we describe the tripartite model used for Bayesian estimation of time calibrated phylogenetic trees. The model can be readily separated into its component models: the substitution model, the clock model and the tree model. We provide an overview of the most widely used models for each component and highlight the advantages of implementing the tripartite model within a Bayesian framework.…

Condizione: New. We describe the tripartite model used for Bayesian estimation of time calibrated phylogenetic trees. We provide an overview of the most widely used models for each component (the substitution, clock and tree models) and highlight the advantages of implemen.

Paperback. Condizione: New. Placing evolutionary events in the context of geological time is a fundamental goal in paleobiology and macroevolution. In this Element we describe the tripartite model used for Bayesian estimation of time calibrated phylogenetic trees. The model can be readily separated into its component models: the substitution model, the clock model and the tree model. We provide an overview of the most widely used models for each component and highlight the advantages of implementing the tripartite model within a Bayesian framework.…

PF. Condizione: New. This item is printed on demand. Brand new book, sourced directly from publisher. Dispatch time is 6-7 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Paperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

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Condizione: New. PRINT ON DEMAND.

Paperback. Condizione: new. Paperback. Placing evolutionary events in the context of geological time is a fundamental goal in paleobiology and macroevolution. In this Element we describe the tripartite model used for Bayesian estimation of time calibrated phylogenetic trees. The model can be readily separated into its component models: the substitution model, the clock model and the tree model. We provide an overview of the most widely used models for each component and highlight the advantages of implementing the tripartite model within a Bayesian framework. We describe the tripartite model used for Bayesian estimation of time calibrated phylogenetic trees. We provide an overview of the most widely used models for each component (the substitution, clock and tree models) and highlight the advantages of implementing the tripartite model within a Bayesian framework. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…