Clarke Kevin a (36 results)

Condition: Very Good. Ships from the UK. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects.

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Condition: Very Good. Most items will be dispatched the same or the next working day. A copy that has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Paperback. Condition: Good. The book has been read but remains in clean condition. All pages are intact and the cover is intact. Some minor wear to the spine.

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Condition: New. In.

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Condition: As New. Unread book in perfect condition.

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Soft cover. Condition: Very Good. The journal's binding is secure. Pages are clean and unmarked. Some pages have a bent corner tip. Some discoloration to the the front and back covers near the spine and on the spine itself from light exposure over time. Just a trace of soiling to the covers. Slight wear to edges of covers and spine. The journal will be bubble-wrapped and shipped in a sturdy box to ensure safe transit. This issue includes: "The Statistical Connection between Tropospheric and Stratospheric Circulation of the Northern Hemisphere in Winter" by Judith Perlwitz and Hans-F. Graf; "Multiple Equilibria, Natural Variability, and Climate Transitions in an Idealized Ocean-Atmosphere Model" by R. Saravanan and James C. McWilliams; "ECMWF Analyses and Predictions of the Surface Climate of Greenland and Antarctica" by Christophe Genthon and Alain Braun; "A Satellite Analysis of Deep Convection, Upper-Tropospheric Humidity, and the Greenhouse Effect" by Brian J. Soden and Rong Fu; "Identifying Periodic Components in Atmospheric Data Using a Family of Minimum Variance Spectral Estimators" by Christopher K. Wikle, Peter J. Sherman, and Tsing-Chang Chen; "On Surface Temperature, Greenhouse Gases, and Aerosols: Models and Observations" by J. F. B. Mitchell, R. A. Davis, W. J. Ingram, and C. A. Senior; "January and July Climate Simulations over the Australian Region Using a Limited-Area Model" by Kevin Walsh and John L. McGregor; "Evaluation of the Upper-Troposhere Moisture Climatology in General Circulation Model Using TOVS Radiance Observations" by Eric P. Salathe Jr., Dennis Chesters, and Y. C. Sud; "Ocean Wave Dynamics and El Nino" by Edwin K. Schneider, Bohua Huang, and J. Shukla; "A Linear Thermohaline Oscillator Driven by Stochastic Atmosphere Forcing" by Stephen M. Griffies and Eli Tziperman; "Estimating Spatial Correlations from Spatial-Temporal Meteorological Data" by Richard F. Gunst; "Sensitivity Studies of Northern Hemisphere Glaciation Using an Atmospheric General Circulation Model" by Buwen Dong and Paul J. Valdes; "Simulation of Tropical Climate with a Linear Primitive Equation Model" by Richard Seager and Stephen E. Zebiak; "Sensitivity of Land-Ocean Circulations, Precipitation, and Soil Moisture to Perturbed Land Surface Albedo" by Brent M. Lofgren; "Surface Albedo-Climate Feedback Simulated Using Two-Way Coupling" by Brent M. Lofgren; "Testing for Change in the Frequency of El Nino Events" by Andrew R. Solow; "The Effect of Irrigation on Premonsoon Season Precipitation over South West Bengal, India" by D. Lohar and B. Pal; and "On the Timing of Warm and Cold El-Nino-Southern Oscillation Events" by Allan J. Clarke and Bin Lai.

Paperback. Condition: new. Paperback. In A Model Discipline, Kevin A. Clarke and David M. Primo turn a critical eye to the methodological approach that dominates modern political science. Clarke and Primo contend that the field's emphasis on model testing has led to a distortion of both the modeling process and the art of data analysis and cannot be logically justified. The authors argue that models should be seen as "objects" and thus regarded as neither true nor false. Models should instead beevaluated for their usefulness for a particular purpose. Divided into two parts, the book first establishes that current practice is not philosophy-free and rests on a number of questionable assumptions. Thesecond part focuses on the different ways that theoretical and statistical models can be useful, and closes with a defensible justification for integrating theoretical and statistical models. A novel work of methodology, A Model Discipline offers a new perspective on long-held assumptions about the way research in the social sciences should be conducted. Political science is an intensely quantitative discipline, and models are central. Political scientists use models--formal and informal, statistical and qualitative--to investigate and illuminate causal mechanisms, generate comparative data, and understand the conditions under which certain outcomes are expected to occur. But even though the use of models has grown dramatically in the discipline, there is very little understanding among political scientists of the role or function that models play in the scientific enterprise more generally. Moreover, theoretical models and empirical models have traditionally been treated as separate (hence the division between theorists and empiricists). Today, however, the emphasis is on using models to generate testable predictions that serve as hypotheses for subsequent data analysis. But how do we justify and rationalize the method? Why test predictions from a deductive, and thus truth-preserving, system? David Primo and Kevin Clarke tackle these central questions in this novel work of methodology. They argue that the lack of a suitable justification for model testing is not the only reason to revisit the role of models in political science. Most importantly, they contend that models should be seen as 'objects' and thus neither true nor false. Rather, they should be evaluated in the same fashion as models are evaluated in the physical sciences--good models are useful for particular purposes. Nothing more, nothing less. Divided into two parts, the book first establishes that no social scientific endeavor is philosophy-free. The second part focuses on different types of models, and closes with a framework for integrating theoretical and statistical models. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condition: As New. Unread book in perfect condition.

Paperback. Condition: New. Political science is an intensely quantitative discipline, and models are central. Political scientists use models--formal and informal, statistical and qualitative--to investigate and illuminate causal mechanisms, generate comparative data, and understand the conditions under which certain outcomes are expected to occur. But even though the use of models has grown dramatically in the discipline, there is very little understanding among political scientists of the role or function that models play in the scientific enterprise more generally. Moreover, theoretical models and empirical models have traditionally been treated as separate (hence the division between theorists and empiricists). Today, however, the emphasis is on using models to generate testable predictions that serve as hypotheses for subsequent data analysis. But how do we justify and rationalize the method? Why test predictions from a deductive, and thus truth-preserving, system? David Primo and Kevin Clarke tackle these central questions in this novel work of methodology. They argue that the lack of a suitable justification for model testing is not the only reason to revisit the role of models in political science. Most importantly, they contend that models should be seen as 'objects' and thus neither true nor false. Rather, they should be evaluated in the same fashion as models are evaluated in the physical sciences--good models are useful for particular purposes. Nothing more, nothing less. Divided into two parts, the book first establishes that no social scientific endeavor is philosophy-free. The second part focuses on different types of models, and closes with a framework for integrating theoretical and statistical models.

Broschiert. Condition: Gut. 1. Auflage. 326 Seiten ; Das Buch ist in einem neuwertigen Zustand. Neben dem oben aufgeführten Aufsatz befinden sich auch weitere Beiträge auch anderer Autoren in dem Werk. Sprache: Deutsch Gewicht in Gramm: 510.

Soft cover. Condition: Very Good+. Tom Barber; John King; Douglas Smith; Wendy Pini; John McIntosh; (illustrator). First Edition. 80 pp. Very light wear. Cover art by Tom Barber; interiors by: Tom Barber; John King; Douglas Smith; Wendy Pini; and John McIntosh. This issue contains: Marvels and Miracles - Pass It On - an essay by Ray Bradbury; Communications in the Second Century of the Telephone - an essay by Arthur C. Clarke; Ashes to Ashes, Rust to Rust: The Robot in Science Fiction - an essay by Peter Weston; Dreams of Ash, Memories of Fire - a short story by Karl Hansen; The Tame One - a short story by Rob Chilson; Blanket Coverage - a short story by Walter Pilcher; The Snares of the Hunter - a short story by Jack Rhys writing as Michael Stall; Next Door Neighbor - a short story by Kevin O'Donnell Jr; Growing Up - a novelette by Damien Broderick; Draconian Inheritance - a short story by Ruth Berman; The Aleph - an essay by Andrew A. Whyte Size: 4to. Book.

Paperback. Condition: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.

paperback. Condition: Very Good. Very good paperback copy (NOT ex-library). Spine is uncreased, binding tight and sturdy; previous owner's inscription in top right corner, otherwise text also very good. Exterior looks great, shelfwear is very minor. An excellent copy. Ships same or next business day from Dinkytown in Minneapolis, Minnesota.

paperback. Condition: VeryGood. A copy that may have been read, very minimal wear and tear. May have a remainder mark.

Paperback. Condition: new. Paperback. In A Model Discipline, Kevin A. Clarke and David M. Primo turn a critical eye to the methodological approach that dominates modern political science. Clarke and Primo contend that the field's emphasis on model testing has led to a distortion of both the modeling process and the art of data analysis and cannot be logically justified. The authors argue that models should be seen as "objects" and thus regarded as neither true nor false. Models should instead beevaluated for their usefulness for a particular purpose. Divided into two parts, the book first establishes that current practice is not philosophy-free and rests on a number of questionable assumptions. Thesecond part focuses on the different ways that theoretical and statistical models can be useful, and closes with a defensible justification for integrating theoretical and statistical models. A novel work of methodology, A Model Discipline offers a new perspective on long-held assumptions about the way research in the social sciences should be conducted. Political science is an intensely quantitative discipline, and models are central. Political scientists use models--formal and informal, statistical and qualitative--to investigate and illuminate causal mechanisms, generate comparative data, and understand the conditions under which certain outcomes are expected to occur. But even though the use of models has grown dramatically in the discipline, there is very little understanding among political scientists of the role or function that models play in the scientific enterprise more generally. Moreover, theoretical models and empirical models have traditionally been treated as separate (hence the division between theorists and empiricists). Today, however, the emphasis is on using models to generate testable predictions that serve as hypotheses for subsequent data analysis. But how do we justify and rationalize the method? Why test predictions from a deductive, and thus truth-preserving, system? David Primo and Kevin Clarke tackle these central questions in this novel work of methodology. They argue that the lack of a suitable justification for model testing is not the only reason to revisit the role of models in political science. Most importantly, they contend that models should be seen as 'objects' and thus neither true nor false. Rather, they should be evaluated in the same fashion as models are evaluated in the physical sciences--good models are useful for particular purposes. Nothing more, nothing less. Divided into two parts, the book first establishes that no social scientific endeavor is philosophy-free. The second part focuses on different types of models, and closes with a framework for integrating theoretical and statistical models. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Pamphlet. Condition: Very Good. Vol 5, No 4, pp. 741-753, 4to, Extracted from orig vol, begins with title page, stapled & trimmed, thus is like a pamphlet, VG.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condition: New. Political science is an intensely quantitative discipline, and models are central. Political scientists use models--formal and informal, statistical and qualitative--to investigate and illuminate causal mechanisms, generate comparative data, and understand the conditions under which certain outcomes are expected to occur. But even though the use of models has grown dramatically in the discipline, there is very little understanding among political scientists of the role or function that models play in the scientific enterprise more generally. Moreover, theoretical models and empirical models have traditionally been treated as separate (hence the division between theorists and empiricists). Today, however, the emphasis is on using models to generate testable predictions that serve as hypotheses for subsequent data analysis. But how do we justify and rationalize the method? Why test predictions from a deductive, and thus truth-preserving, system? David Primo and Kevin Clarke tackle these central questions in this novel work of methodology. They argue that the lack of a suitable justification for model testing is not the only reason to revisit the role of models in political science. Most importantly, they contend that models should be seen as 'objects' and thus neither true nor false. Rather, they should be evaluated in the same fashion as models are evaluated in the physical sciences--good models are useful for particular purposes. Nothing more, nothing less. Divided into two parts, the book first establishes that no social scientific endeavor is philosophy-free. The second part focuses on different types of models, and closes with a framework for integrating theoretical and statistical models.

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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

paperback. Condition: Acceptable. Connecting readers with great books since 1972. Used textbooks may not include companion materials such as access codes, etc. May have condition issues including wear and notes/highlighting. We ship orders daily and Customer Service is our top priority!

paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!

Paperback. Condition: Brand New. 1st edition. 232 pages. 9.10x6.10x0.70 inches. In Stock.

Paperback. Condition: new. Paperback. In A Model Discipline, Kevin A. Clarke and David M. Primo turn a critical eye to the methodological approach that dominates modern political science. Clarke and Primo contend that the field's emphasis on model testing has led to a distortion of both the modeling process and the art of data analysis and cannot be logically justified. The authors argue that models should be seen as "objects" and thus regarded as neither true nor false. Models should instead beevaluated for their usefulness for a particular purpose. Divided into two parts, the book first establishes that current practice is not philosophy-free and rests on a number of questionable assumptions. Thesecond part focuses on the different ways that theoretical and statistical models can be useful, and closes with a defensible justification for integrating theoretical and statistical models. A novel work of methodology, A Model Discipline offers a new perspective on long-held assumptions about the way research in the social sciences should be conducted. Political science is an intensely quantitative discipline, and models are central. Political scientists use models--formal and informal, statistical and qualitative--to investigate and illuminate causal mechanisms, generate comparative data, and understand the conditions under which certain outcomes are expected to occur. But even though the use of models has grown dramatically in the discipline, there is very little understanding among political scientists of the role or function that models play in the scientific enterprise more generally. Moreover, theoretical models and empirical models have traditionally been treated as separate (hence the division between theorists and empiricists). Today, however, the emphasis is on using models to generate testable predictions that serve as hypotheses for subsequent data analysis. But how do we justify and rationalize the method? Why test predictions from a deductive, and thus truth-preserving, system? David Primo and Kevin Clarke tackle these central questions in this novel work of methodology. They argue that the lack of a suitable justification for model testing is not the only reason to revisit the role of models in political science. Most importantly, they contend that models should be seen as 'objects' and thus neither true nor false. Rather, they should be evaluated in the same fashion as models are evaluated in the physical sciences--good models are useful for particular purposes. Nothing more, nothing less. Divided into two parts, the book first establishes that no social scientific endeavor is philosophy-free. The second part focuses on different types of models, and closes with a framework for integrating theoretical and statistical models. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condition: New.