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Vector Cal Drone Financials
Drones navigation systems are some of the most promising technologies whose effective utilization can make the world a safer place. This is because proper application of this technology can help planners around the world to planner our cities and localities better than before, help emergency responders get fast precise and real-time data, law enforcement officers with better surveillance capabilities, and utility companies around the globe. This paper proposes an new service oriented company to compete in the growing industry of drone navigation system. The proposed company will seek to be leaner, more efficient, and cost effective.
Description of the New Company
The company will operate under the name QuickResponse Drones. The company will be headquartered at New York with branches across strategic points in the United States. QuickResponse Drones will seek to provide surveillance services to Law enforcement agencies, utility companies, real estate developers, the media, and...
Our Drone navigation systems incorporate the necessary aerospace applications ranging from avionics, UAV navigation, flight analysis, gyro-stabilized cameras, and antenna tracking. With technologies such as vertical gyro, 3D orientation, and navigation, we believe the company will offers the best service to its clients.
Mission and vision
QuickResponse mission will be to provide the latest technology in Unmanned Aerial Vehicles Drones and surveillance equipment to its customers to help protect and save lives, improve quick response to emergencies, and precise data to help our clients plan appropriately. The vision of the company is to be the leading security surveillance service provider in the United States with a reputed recognition around the globe. To achieve this vision, the…
QuickResponse targeted clientele range from governments, news agencies, marine and shipping industries, the media and utility companies such as oil, electricity and gas companies. considering the need to deliver in the areas of operation for each clients, our solution is tailored to assist them offer the best possible services irrespective of the challenges.
Critique of VectorCal's forcasting method
VectorCal' utilizes quantitative models for forecast particularly the associative causal forecast methodologies. VectorCal combines regression analysis with econometric modeling to forecast to predict trends and develop new products. According to Shim (2000), quantitative models work superbly as long as there is little or no systemic change in the environment. When patterns or relationships do change, the objective models by themselves are of little use. It is here that the qualitative approach based on human judgment
Bibliography 1) Analysis of Heterogeneous Panels with Unobserved Common Effects a) Baltagi, Badi H. 2010. Narrow Replication of Serlenga and Shin (2007) gravity models of intra-EU trade: application of the CCEP-HT estimation in heterogeneous panels with unobserved common time-specific factors. Journal of Applied Econometrics 25 (3): 505-506. 2) Panel unit root tests. a) Pesaran, M. Hashem. 2007. A simple panel root test in the presence of cross-section dependence. Journal of Applied Econometrics 22: 265-312. b)
Econometrics of University Selection Prestige Location Ivy League Type of Curriculum Attending college, and the selection of colleges, is one of the most important decisions individuals can make in their youth. Future college students base their decision making criteria on a wide range of information. Some consider whether or not the school is a party school, others consider the history and the level of prestige that the school has obtained, and others may select a
Chapter two of the proposed study will be used to deliver a review of the relevant peer-reviewed and scholarly literature concerning the relationship between unemployment, money supply and inflation, and how the Indiana University model can be used to model these relationships. Chapter three of the study proposed herein will be used to more fully describe the methodology, including a description of the study approach, the data-gathering method used
Statistics and Econometrics ID- 4119L 2011/12 LEVEL STATISTICS AND ECONOMETRICS Present your data in a table showing the names of the variables. Make sure the full definitions and sources of each variable are given. Birth Rates: (thousands) Quarter1 (Q1) Quarter2 (Q2) Quarter3 (Q3) Quarter4 (Q4) GDP per capita (GDP) The GDP data used was from http://earthtrends.wri.org/text/economics-business/variable-638.html in the table Economics, Business, and the Environment -- GDP: GDP per capita, current U.S. dollars Current U.S.$ per person GDP The equation to be estimated is: BRi =
Econometric Modeling Financial risk is currently at the center of all economic activity due to the incredibly unstable financial environment of the world economy. As a consequence the search for ways to reduce risk has taken a front seat in the important issues of our day. Several instruments exist in order to increase risk reduction possibilities, these include forward and futures contracts as well as various derivatives. That the most optimal
multiple liner regression to determine the time taken to dispatch daily subscription newspapers from the New York Times Printing Plant to several offices and homes in New York City and its neighborhood. The newspaper delivery routes are to be the shortest and most efficient in terms of conserving fuel that would otherwise be wasted on traffic jams. The Logistics Manager suggested that the variables that are most crucial are