Visual detection time models : parameter estimation and prediction /
Stephen Stollmack · OhioLink ETD Center (Ohio Library and Information Network) · 1969
h is c o n stru c tiv e c r itic is m an d guidance d u rin g the c o u rse of th is r e s e a r c h .His in siste n c e th a t m y w o rk , a s a n em ployee and a d v ise e , m eet h is high sta n d a rd s, is s in c e re ly a p p re c ia te d .Thanks a r e due to a ll th o se m e m b e rs of the S ystem s R e se a rc h Group who co n trib u ted , in th e ir way, to the com pletion of th is study.In p a rtic u la r, I would like to acknow ledge D r. John N euhardt, fo r h is advice on s ta tis tic a l p ro b lem s, and D r. G eorge Sm ith, f o r h is ad v ice on p ro b le m s a s so c ia te d with the study of the hum an v isu a l p r o c e s s .The r e s e a r c h th a t le a d to th e com pletion of th is d iss e rta tio n w as financed under C o n trac t No. DA 15-014, A II-2965 O. I. No. K -11526-53 with the U .S .A rm y Com bat D evelopm ents C om m and A rm o r Agency, F o r t Knox, Kentucky.My th an k s to p e rso n n e l of th is A gency fo r the valuable d iscu ssio n s concerning the p ro b lem s a s s o c ia te d w ith th e v isu al acq u isitio n of m ilita rytype ta r g e ts .I hope th at th is d is s e rta tio n w ill be re g a rd e d a s a step tow ards the solution of th e se p ro b le m s.A final acknow ledgm ent is due to M iss S ara E m ig fo r m o st efficiently in te rp re tin g my n o tes into a fin al p a p e r.