Topics change from year to year. Most recent topics include: optimal fiscal and monetary policy; optimal capital taxation; time inconsistency and incentive incompatibility of optimal policies; redistribution and political economics; heterogeneous agents and incomplete markets; Real Business Cycle models and new-keynesian models; endogenous growth; aggregate fluctuations and propagation mechanisms; recursive methods and robust control in macro. 14.462 is the second semester of the second-year Ph.D. macroeconomics sequence. The course is intended to introduce the students, not only to particular areas of current research, but also to some very useful analytical tools. It covers a selection of topics that varies from year to year. Recent topics include: Growth and Fluctuations; Heterogeneity and Incomplete Markets; Optimal Fiscal Policy; Time Inconsistency; Reputation; Coordination Games and Macroeconomi; Complementarities; Information.
Collaborative Statistics was written by Barbara Illowsky and Susan Dean, faculty members at De Anza College in Cupertino, California. The textbook was developed over several years and has been used in regular and honors-level classroom settings and in distance learning classes. This textbook is intended for introductory statistics courses being taken by students at two– and four–year colleges who are majoring in fields other than math or engineering. Intermediate algebra is the only prerequisite. The book focuses on applications of statistical knowledge rather than the theory behind it. The textbook is also available in printed form from Qoop.com.
Collaborative Statistics was written by Barbara Illowsky and Susan Dean, faculty members at De Anza College in Cupertino, California. The textbook was developed over several years and has been used in regular and honors-level classroom settings and in distance learning classes. This textbook is intended for introductory statistics courses being taken by students at two– and four–year colleges who are majoring in fields other than math or engineering. Intermediate algebra is the only prerequisite. The book focuses on applications of statistical knowledge rather than the theory behind it. This custom textbook collection has been modified by R. Bloom for her classes at De Anza College; the homework content for the custom collection is now contained in a separate homework collection.
This is a custom collection (by R. Bloom) of homework and review problems to accompany Collaborative Statistics textbook custom collection by R. Bloom. Content is derived from Collaborative Statistics written by Barbara Illowsky and Susan Dean, faculty members at De Anza College in Cupertino, California. The textbook by S. Dean and B. Illowsky was developed over several years and has been used in regular and honors-level classroom settings and in distance learning classes. This textbook is intended for introductory statistics courses being taken by students at two– and four–year colleges who are majoring in fields other than math or engineering. Intermediate algebra is the only prerequisite. The book focuses on applications of statistical knowledge rather than the theory behind it. This custom version of their collection has been modified by R. Bloom for her classes at De Anza College.
This module serves as an introduction to the Continuous Random Variables chapter in the Elementary Statistics textbook. The original module by S. Dean and B. Illowsky has been revised; concepts removed from the original version of module are discussed in R. Bloom's module Continuous Random Variables: Properties of Continuous Probability Distributions
In this module the student will explore the properties of data with a uniform distribution. The original module of practice problems for the Uniform distribution in Collaborative Statistics by Dr. Barbara Illowsky and Susan Dean has been modified by removing the problems involving conditional probability.
Copy of Review Questions module m16810 (http://cnx.org/content/ mm16810/) from Collaborative Statistics by Dean and Illowsky http://cnx.org/content/col10522/ , 12/18/2008 . The FORMAT only of the question numbering has been changed.
This module examines the properties of the continuous Uniform probability distribution, which describes a set of continuous data for which all intervals of values having the same length are equally likely. This revision is based on the original module in the textbook collection Collaborative Statistics by S. Dean and Dr. B. Illowsky; the last example in the original module was replaced with a new example.
This module allows students to explore concepts related to discrete random variables through the use of a simple playing card experiment. Students will compare empirical data to a theoretical distribution to determine if the experiment fist a discrete distribution. This lab involves the concept of long-term probabilities.
Copy of Review Questions module m16832 (http://cnx.org/content/m16832/) from Collaborative Statistics by Dean and Illowsky http://cnx.org/content/col10522/ , 12/18/2008 . The FORMAT only of the question numbering has been changed.
Introduction to econometric models and techniques, emphasizing regression. Advanced topics include instrumental variables, panel data methods, measurement error, and limited dependent variable models. Includes problem sets. May not count toward HASS requirement. This course covers the statistical tools needed to understand empirical economic research and to plan and execute independent research projects. Topics include statistical inference, regression, generalized least squares, instrumental variables, simultaneous equations models, and the evaluation of government policies and programs.
The primary objective is to teach students to do rigorous, explicit, customer-based marketing analysis which is most appropriate for new ventures. Explicit analysis of customers and potential customers, using available data, together with explicit and sensible additional assumptions about customer needs and behavior. Additional course objectives are to teach students about: (a) ways to implement marketing strategies when resources are very limited, and (b) common deficiencies in marketing by entrepreneurial organizations. From course home page: Course Description Educational Objective This course clarifies key marketing concepts, methods, and strategic issues relevant for start-up and early-stage entrepreneurs. At this course, there are two major questions: Marketing Question: What and how am I selling to whom? New Venture Question: How do I best leverage my limited marketing recourses? Specifically, this course is designed to give students a broad and deep understanding of such topics as: What are major strategic constraints and issues confronted by entrepreneurs today? How can one identify and evaluate marketing opportunities? How do entrepreneurs achieve competitive advantages given limited marketing resources? What major marketing/sales tools are most useful in an entrepreneurial setting? Because there is no universal marketing solution applicable to all entrepreneurial ventures, this course is designed to help students develop a flexible way of thinking about marketing problems in general. Career Focus This course is aimed at students who plan to start a new venture or take a job as a marketing professional in an early-stage business.
Basic subject in ecology: understanding the flow of energy and materials through ecosystems, and what regulates the distribution and abundance of organisms. Productivity and biogeochemical cycles in ecosystems; trophic dynamics; community structure and stability; competition and predation; evolution and natural selection; population growth; and physiological ecology. Emphasis on aquatic systems.
This book covers the following topics: The Method of Stationary Phase; Morse's Lemma and Some Generalizations; Differential Operators and Asymptotic Solutions; Geometrical Optics; Symplectic Geometry; Geometric Quantization; Geometric Aspects of Distribution; The Plancherel Formula for the Complex Semi-Simple Lie Groups; Compound Asymptotics; Various Functorial Constructions.
How much water on Earth is fresh water? How much of that fresh water is found in icecaps? Lakes? Rivers? This interactive resource uses bar graphs to illustrate the relative distribution of fresh and salt water on Earth. Adapted from Oxford University Press
Normal distributions are commonly used in Statitics. While normal distributions can be quite different, they can all be represented mathematically and they all have six distinct features that will be discussed in this chapter.
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