Schoenberg Frederic (67 results)

Paperback. Condition: Good. Book in Good condition.

Condition: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.…

Condition: New. Brand New, Softcover edition. This item may ship from the US or our Overseas warehouse depending on your location and stock availability.

Soft cover. Condition: Good. No Jacket. Condition: Good. Ex-university library copy with associated library stamps etc. Soft cover, no jacket. 189pp. No highlighting or annotations to text. Covered in protective laminate. Photo on request.

Soft cover. Condition: New. ISBN:9780367240837,Territorial restriction maybe printed on the book. This is an Int'l edition, ISBN and cover may differ from US edition, Contents same as US edition.

paperback. Condition: New. 2nd Edition. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).

Soft cover. Condition: Very Good. CRC Press, 2012. Softcover. 6 x 9". 189 pp. Very good. Minor soiling to pages 182 and 183. Otherwise the interior appears unmarked. The binding is solid.

Paperback. Condition: Very Good. 2. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Paperback. Condition: New. 2. The item is brand new, never used or read. It's in perfect condition and may include supplements and/or access codes or come shrink-wrapped.

Paperback. Condition: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.…

Paperback. Condition: New. Brand new book, sourced directly from publisher. Dispatch time is 7-8 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New. pp. 296.

Condition: New. pp. 296.

Condition: As New. Unread book in perfect condition.

Condition: New. Introduction to Probability with Texas Hold em Examples illustrates both standard and advanced probability topics using the popular poker game of Texas Hold em, rather than the typical balls in urns. The author uses students natural interest in poker to teach important concepts in probability." Num Pages: 296 pages, 7 black & white illustrations, 29 colour illustrations. BIC Classification: PBC; PBT. Category: (G) General (US: Trade); (U) Tertiary Education (US: College). Dimension: 143 x 217 x 18. Weight in Grams: 430. . 2016. 2nd Edition. Paperback. . . . .…

Condition: New. pp. 296.

Paperback. Condition: Brand New. 2nd edition. 278 pages. 8.25x5.50x0.75 inches. In Stock.

Hardcover. Condition: New. New Book.

Condition: Sehr gut. Zustand: Sehr gut | Seiten: 260 | Sprache: Englisch | Produktart: Bücher |  Time series methods are essential tools in the analysis of many geophysical systems. This volume, which consists of papers presented by a select, international group of statistical and geophysical experts at a Workshop on Time Series Analysis and Applications to Geophysical Systems at the Institute for Mathematics and its Applications (IMA) at the University of Minnesota from November 12-15, 2001 as part of the IMA's Thematic Year on Mathematics in the Geosciences, explores the application of recent advances in time series methodology to a host of important problems ranging from climate change to seismology.The works in the volume deal with theoretical and methodological issues as well as real geophysical applications, and are written with both statistical and geophysical audiences in mind. Important contributions to time series modeling, estimation, prediction, and deconvolution are presented. The results are applied to a wide range of geophysical applications including the investigation and prediction of climatic variations, the interpretation of seismic signals, the estimation of flooding risk, the description of permeability in Chinese oil fields, and the modeling of NOx decomposition from thermal power plants.…

Hardcover. Condition: new. Hardcover. The book focuses on applied methodology, and summarizes the main issues in the practical applications associated with space-time point processes. In particular, the questions addressed in this book are:How can one summarize space-time point process data?How are space-time point processes modeled?What are the different ways of estimating parameters in space-time point process models, and how do they compare?How can space-time point process models be estimated non-parametrically?What techniques exist for assessing how well a space-time point process model fits to data, or for comparing the fit of multiple models?How can one use a space-time point process model to forecast the probability of future events? Applied examples are used throughout the book, and the text includes R code for implementing all the techniques discussed in the book. The book covers standard, classical methods for point processes, such as Poisson processes, Cox processes, Neyman-Scott processes, Hawkes models, conditional intensities, kernel smoothing, and Ripley's K-function, and also describes important recent advances for space-time point processes, such as Model-Independent Stochastic Declustering (MISD), Stoyan-Grabarnik parameter estimation, Voronoi deviance residuals, and super-thinned residuals.The book is meant to be used for teaching at the graduate or undergraduate levels. Sample exercises are given at the end of each chapter, and these problems are not too difficult and thus suitable for undergraduate or graduate students in applied statistics. The goal is to educate and train students in the practical aspects of the summary, description and forecasting of spatial-temporal point process data. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condition: New. pp. 276.

Condition: New. Introduction to Probability with Texas Hold em Examples illustrates both standard and advanced probability topics using the popular poker game of Texas Hold em, rather than the typical balls in urns. The author uses students natural interest in poker to teach important concepts in probability." Num Pages: 296 pages, 7 black & white illustrations, 29 colour illustrations. BIC Classification: PBC; PBT. Category: (G) General (US: Trade); (U) Tertiary Education (US: College). Dimension: 143 x 217 x 18. Weight in Grams: 430. . 2016. 2nd Edition. Paperback. . . . . Books ship from the US and Ireland.…

Condition: New. Frederic Paik Schoenberg is a professor and graduate vice-chair of statistics at UCLA. He is also co-editor of the Journal of Environmental Statistics. He earned a Ph.D. in statistics from UC Berkeley. His research interests include poin.

Condition: New. pp. 276 Illus.

Hardcover. Condition: new. Hardcover. The book focuses on applied methodology, and summarizes the main issues in the practical applications associated with space-time point processes. In particular, the questions addressed in this book are:How can one summarize space-time point process data?How are space-time point processes modeled?What are the different ways of estimating parameters in space-time point process models, and how do they compare?How can space-time point process models be estimated non-parametrically?What techniques exist for assessing how well a space-time point process model fits to data, or for comparing the fit of multiple models?How can one use a space-time point process model to forecast the probability of future events? Applied examples are used throughout the book, and the text includes R code for implementing all the techniques discussed in the book. The book covers standard, classical methods for point processes, such as Poisson processes, Cox processes, Neyman-Scott processes, Hawkes models, conditional intensities, kernel smoothing, and Ripley's K-function, and also describes important recent advances for space-time point processes, such as Model-Independent Stochastic Declustering (MISD), Stoyan-Grabarnik parameter estimation, Voronoi deviance residuals, and super-thinned residuals.The book is meant to be used for teaching at the graduate or undergraduate levels. Sample exercises are given at the end of each chapter, and these problems are not too difficult and thus suitable for undergraduate or graduate students in applied statistics. The goal is to educate and train students in the practical aspects of the summary, description and forecasting of spatial-temporal point process data. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Condition: New.

Hardcover. Condition: new. Hardcover. The book focuses on applied methodology, and summarizes the main issues in the practical applications associated with space-time point processes. In particular, the questions addressed in this book are:How can one summarize space-time point process data?How are space-time point processes modeled?What are the different ways of estimating parameters in space-time point process models, and how do they compare?How can space-time point process models be estimated non-parametrically?What techniques exist for assessing how well a space-time point process model fits to data, or for comparing the fit of multiple models?How can one use a space-time point process model to forecast the probability of future events? Applied examples are used throughout the book, and the text includes R code for implementing all the techniques discussed in the book. The book covers standard, classical methods for point processes, such as Poisson processes, Cox processes, Neyman-Scott processes, Hawkes models, conditional intensities, kernel smoothing, and Ripley's K-function, and also describes important recent advances for space-time point processes, such as Model-Independent Stochastic Declustering (MISD), Stoyan-Grabarnik parameter estimation, Voronoi deviance residuals, and super-thinned residuals.The book is meant to be used for teaching at the graduate or undergraduate levels. Sample exercises are given at the end of each chapter, and these problems are not too difficult and thus suitable for undergraduate or graduate students in applied statistics. The goal is to educate and train students in the practical aspects of the summary, description and forecasting of spatial-temporal point process data. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…