Hit Probabilities
Transcript of Hit Probabilities
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AD/A-OOl 533
MULTIPLE ROUND HIT PROBABILITIES ASSOCIATEDWITH COMBAT VEHICLE FIRE CONTROL GUN
SYSTEMS
Louie R. Cerrato, et al
Frankford Arsenal
Philadelphia, PennsylvaniaMay 1974
DISTRIBUTED BY :
Natioua Toical liofsrri eU.S. DEPARTMENT OF COMMERCE
I1 . . . . .IIIAl
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UNCLASSIFIED
SECURITY CLASSIFICATION OF THIS PAGE MengaDaD bf*4 __________________
*REPORT DO)CUMENTATION PAGE 33 FORE COMPLILTIG FORK
2. O-VT ACCMSAON NO. t. N NTS CATLGNME
4. TITLE (and SW6,1dU.1)S.TP M - O T & E R D C V R D
MULTIPLE ROUND HIT PROBABILITIES ASSOCIATEDRE
WITH COMBffAT VEHICLE FIRY, CONTROL GU N SYSTEM4S ___________
* S. PERtFORMING ORG. REPORT MUMUER
7 AUTHOR(S) GIN imcc6
LOUIS R. CEHEATO AMCMS Code: A U
KENNETH R. PFLEOER 662603.12.22500.03DA Project: 1W626603'A005
S. PERFORMING ORGANIZATION HANOI AND ADDRESS PO CT ?AIX
______ __________ ______ ______ _____ ___________ __________
Fran~tford ArsenalA~TTN: SARFA-FCA-WFhileadeluhia, PA 193
11. CONTROLLING OFFICE NAME AND A0,0R11SS1 12. REPORT WATE
ARMCOM May 197418, SlU1111ER0F PAGES
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Ill SUPPLEMENTARY NOTES
NA .0N '''*N1:A
II VA I
1S, I(EY WORDS (Cmntinue onl .v.,ee aide Itnecessary end IdesDf.lip black numb.,.)
Multiple Round Hit Probability Correlated Bursts
Automatic Cannon
Average Number of Rounds to hit
10, ASTRaAcT (cetame onMaEvores side if nOesoWIP -' idenDimpy block number)
This report describes a method fo r evaluating the hit probabilityassociated with multiple round or bu~rst fire wieapons when used on
combat vehicles against ground targets. The problem of correlation
between consecutive bursts is also addressed and some hi t probability
expressions are derived. Table. and curmcs for representative calcula-
tions are presented in an Appendix.
DI CAIid31473 EDITION OF I NOV565 IS08SOLETE UNCLASSIFIED -
4 SECURITY CLASSIFICATION OP THIS PAG W~Wn lk na
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one 6giQUu.-d I
J ....IC ..lo .. . DISPOSITION INSTRUCTIONS. . .b . . ,.... .. ........ .. . . . . I
IV ... ..... ... ...... ...
eIsuIau'i;:," Destroy this report when it is no longer needed. Do not return it
i, ;..'• to the originator.
DISCLAIMER
The findings in this report are not to be construed as an official
Department of the Army position unless so designated by other author-
ized documents.
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ITABLE OF CONTENTS
INTRODUCTION * . . .................
DITSQUSSION . . . . . ... . . . ....... . . . . . . . . . . 4
Classification of Errors ... .... . .. : 4
Assumptions d. . . . . . . . . . . . . . . . . . 5~Single Shot Hi robabilities 5.....S~Multiple Round . .. ..... '.... 6
Probability of at Least LN Rounds Fired . . . . . .. . .. . . . . . . . 10Expected Number of Hits . . .. . . .... 11
Variance of th e Number of Hits. . . . . . . . . . 12
Average Number of Rounds to Achieve a Hit . . . . 13
Correlation Bewteen Bursts. .... ........... 14
"APPENDIX . . . . . . . . . . . . . . . . . . . . . . 1
GLOSSARY ..
. . .. . . . . . . . . . . . . . . . .
4DISTRIBUTION............... . . . . . . . . .49
List of Tables
Tables
SI. Probability of Achieving at Least One Hit
of a Tw o Round Burst. . . . . . . . . . . 19
II. Probability of Achieving at Least One Hit
of a Three Round Burst. . . . . . . . . . 20
III. Probability of Achieving at Least One Hitof a Five Round Burst .. ...... . 21
IV . Probability of Achieving at Least Four Hits
of a Five Round Burst . . . . . . . . . . 22
V. Probability of Achieving at Least One Hit ofa Ten Round Burst . . . . . . . . . . . . 23
*" " "". * ,~ i • r • " I " '•: ' '' -'•-'• '• ¶ :: "'• - . ...... ......... ... ............. '
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List of Tables
VI. Probability of Achieving at Least
Five Hits of a Ten Round Burst. . . .... 24
VII. Probability of Achieving at Least
Eight Hits of a Ten Round Burst . . ....... 25
VIII. Probability of Achieving at Least One
H it of a Twenty Round Burst . ..... P6
IX. Probability of Achieving at Least Five
Hits of a Twenty Round Burst ......... 27
X. Probability of Achieving at Least Ten
Hits of a Twenty Pound Burst . , . , . 1 2
XT . Probability of Achieving at Least Sixteen
Hits of a Twenty Hound Burst ......... 29
XII. Single Shot H it Probability, P(H} ..... 30
XIII. Probability of Achieving Exactly Two Hitsof Tw o Rounds Fired, P{HH}. ........... .. 31
XIV. Average Humber of Hounds to Achieve a Hit. 32
List of Illustrations
Figure1. Probability of Achieving at Least One Hit
of a Two Round Burst .... ........... 33
2. Probability of Achieving at Least One Hit
of a Three Round Burst . . . ....... 34
3. Probability of Achieving at Least One Hitof a Five Round Burst. . . . . . . . 35
Probability of Achieving at Least Four Hits
of a Five Round Burst. .. ........... 36
2
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List of Illustrations
7
Figure5. Probability of Achieving at Least One Hit
of a Ten Round Burst . . . . . . . . . . . 37
6. Probability of Achieving at Least Five Hitsof a Ten Round Burst ..... ..... 38
7. Probability of Achieving at Least Eight Hits
of a Ten Round Burst . . . . . . .. .. 39
8. Probability of Achieving at Least One Hit of
a Twenty Round Burst .... ....... 40
9. Probability of Achieving at Least Five Hitsp •of a Twenty Round Burst .... . . . . .
10. Probability of Achieving at Least Ten Hitsof a Twenty Round Burst ......... 42
11 . Probability of Achieving at Least Sixteen
Hi+s of a Twenty Round Burst . . . . . . . 43
12. Single Shot Hit Probability, P{H} .... .
13. Probability of Achieving Exactly Two Hits ofTwo Rounds Fired, ({H}l). . . . . . . . 45
14. Average Number of Rounds to Achieve a Hit 46
3
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INTRODUCTION
This report describes analytical methoOs which have
been formulated and used in the evaluation of fire controlsystems fo r both large caliber and automatic cannon weaponsused on combat vehicles against ground target,;. Currentrequirements fo r hig'h performance automatic cannon systemshave made this type of analysis necessary.
DISCUSSION
Classification of Errors
Combat vehicle fire control errors 1 can generally bedivided into 4 clasnifications: fixed biases, occasion-to-
occasion biases, burst-to-burst biases, and round-to-round
errors. An occasion is one tactical engagement betweenvehicles. A burst is a series of roundr fired in rapidsuccession with the same point of aim.
Fixed biases, as their name implies, are constant ata given range. Gravity drop-off, drift of spin stabilized
projectiles, and parallax error (due to sight loffset fromweapon) are examples of fixed biases. Another source
which may contribute to this type of error is fire control
equipment which is damaged or out of adjustment. In a mod-erately sophisticated, well maintained fire co:itrol system,correction is made for all fixed biases.
Occasion-to-occasion biases are errors which changefrom time-to-time, but change so slowly that they can beconsidered constant over the period of an engagement.Errors due to vehicle cant, wind velocity, air density andtemperature changes are considered to be occasion-to-occasinn
biases. These biases vary from engagment to engagement ina :aneom fashion. In general, these errors are functions
of weapon system parameters (ammunition type, muzzlevelocity, etc.) the geometry of the tactical situation(range) and the firing conditions.
iFor a more complete discussion of combat vehicle error sources refer
to: K. Pfleger amd R. Bibbero, "The Evaluation of Combat Vehicle FireControl/ Gunnery Systems," Frankford Arsenal Report R-1937, Sep 1969.
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Burst-to-burst biases are random and generally have
different values fo r each burst fired during an engagement.If a gunner lays the reticle onto th e target before each
burst of fire from an automatic cannon, then the laying
error is a burst-to-burst type of error.
Round-to-round errors are random taking on differentvalues for each round, so that no correction can be intro-
duced by th e fire control system. Ammunition dispersion,
(due to number and size of projectile propellent grains,fit of projectile to case, orientation of th e round in th e
chamber, etc.) must be treated as a round-to-round error.
Assumptions
The following assumptions are made in analyzing theproblem of multi-round hit probabilit ies:
1. V is a normally distributed random variable
which represents th e component of fire control error that
remains constant during the period of time (several minutes)
of a single engagement. The mean of V is the fixed bias ofthe system; and th e standard deviation of V is th e standard
deviation of the occasion-to-occasion biases.
2. B is a normally distributed random variable whichrepresents th e component of error that remains constant
during a burst but has a different realization fo r eachburst. B has zero mean.
3. R is a normally distributed random variable which
represents th e round-to-round error. R has a zero mean.
4. V, B, and R are mutually independent.
5. The horizontal and vert ical componenits of th e
errors, represented by (VxV y) , (B x,B y) and (R x ,R y) are
uncorrelated.
Single Shot Hit Probabilit ies
The following expressions give th e single shot h it prob-
ability in terms of th e variables defined above (the round
fired is considered to be a single burst of one round):
Throughout this report random variables are represented by upper
case letters (e.g., V, B and R) and realizations of these random
variables bv the corresnonding lower case letters (e.g., v, b and r).
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The rounds are not, in general , independent since part
of th e total error is shared by all rounds fired during an
engagement; another part is shared by all rounds within th e
burst; an d yet another part changes from round-to-round.
If 'ze measure the cartesian coordinates of each round
as it passes through a vertical plane containing th e target
(with th e center of th e target as th e origin) an d if the co-
ordinates are designated by (S,T), then
S V + B + R (2)x x x
T Y + B + R
y y yEach round in a particular burst will have th e same
realizations of th e bias random variables, V an d B, but
different realizations of th e round- to- round random variable,
R. Letting the horizontal bias, V + Bx, be represented
by X and th e vertical bias, Vy + , be Y; Equations 2 become
S -X + Rx
T= Y + H (3)
If realizations of X an d Y are mpecified fo r a particu-
lar burst, that is, if X = x an d Y = y, then S and T have
means x and y an d variances u2
an d v2 respectively. The
conditional probability of getting ayhi t on th e target with
an y round of th e burst given th e realizations of X and Y is
2I
"S" Ixx f e- ! V2 do2 21 2 IN (J4)
y 22 j
2
To simp lify th e notation,the above expression is re -
written as
P H Ix,y P(HxiX) P{H yly
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Furthermore, if realizations of X an d Y are specified,
each round within the burst is independent of the others.
The probability of hitting th e target with two particular
rounds given x an d y, is P(jlIx,y}
2
In general , th e probability of getting exactly K hitsof an N round burst, given x and y, th e components of th e totai
bias fo r that burst is
N{,NXY1jP(JI XY)] [l-P(itIY)jI N-K
M ultiplying the above expression by the probability densityfunction for the variables X an d Y, p(x,y), an d integratinp,over all possible values of bias yields th e required results,
P/Il. (CN)[ xI] [l-P(HiY1XY) -Kp(xy) dx dy (6)
The expression for p(x,y) ca n be obtained since X an d Y are
normally distributed independent random variables with
E{X= E (V + Bx }=
Var {X} Var [V + B )ar12 , y~ 2 +x x x
and similar expressions fo r E {Y}and Var'{Y). The joint
density function for X and Y is then given by
PNY-2yny" 7
The multiple integral (6 ) with th e integrand made up of
terms from Equation 4 an d Equation 7 can be evaluated numer-
icrlly using either Simpson's rule or a Gaussian quadrature
formula. The tw o single integrals which make up P {Hlx,y}are usually available as library subrout ines in a digitalcom;uter system.
8
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I
An alternate method of evaluating P{K/Nlis to expand{N ~ i`. by ueof' Uhc lb riomriaA theur.'m.
Y, N- !
Substi tuting this into (6) interchanging summation and inte-
g ation, and letting n=J+K yields.
where
n 2;
oft .. (9),
p{fn/n} represents th e probabil i ty of Achieving exactly n hits
of an n round burst. P{1/1} is th e single shot hit prob-
ability, P{H}. Then the following matrix equation can be
written fo r P(K/N) in terms of P{n/n). Note that P{ 0/O}) 1.
9
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1o 0 .o...... a 0 )N)/M r{10 I
* ' * (ao)Pin/n)
The problem thus reduces to an evaluation of the
quantities P{.n/n),n = O,N, defined by Equation 9 rather
than the computationally more complex expression of Equation6. The difficulty with this method is that th e elements
of th e matrices become large as N increases and, since th e
signs alternate in one matrix, small errors in th e evalua-
tion of P{n/n} may cause large errors in I(K/N} . N< 20 hasbeen tried with excellent results.
Probability of at Least L Hits of N Rounds Fired
The performance specification of an automatic cannonsystem may be stated in terms of achieving a certain prob-
ability of getting at least L hits of an N round burst. Ifth e quantities P{K/N) are known, this probability is easily:
calculated. N
P {at least L hits of N rounds} = •P{K/N} (11)
Tables and plots of these probabilit ies for several valuesof L and N can be found in th e Appendix.
N
Since L P{K/N} =1, Equation 11 can be rewritten as
K-20
L-1
P(at least L hits of N rounds } 1 ZP{K/N1 (lla)
K=O
so if L-ON Equation lla reduces th e number of terms that
have to be summed.
Specifically if L = 1 we get
Probability{at least 1 hit of N roundi}-l - P{O/N} (a2)
10
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Expected Number of Hits
The expected namber of rounds that hit a target, EH,of
a burst of N rounds is given by
EE K P (K/N)
using the expression fo r P{K/NI of Equation 6, E becoresH
EE.ZMff [(H jx'y)K [,_p{(Hlx,y KK p(x,y)dxdy
Interchanging integration and summation yields
N Ki
H a[pIp{Hlx,y p(x,y)dxdy
N
Using the binomial theorem,(l+r)N= rK
K=O
differentiating this expression with respect to r, and multi-plying by r yields
N-1Nr(l+r) - =r
K=0
P{HIx,y)
letting r= l-P{Hlx,y} ,EH can be written as
EH= NffP Hlx,ylp(x,y)dxdy
-) -0
=NP fl/l}
NP{H} (13)
11
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The expected number of hits on a target of a burst of
N rounds is equal to the single shot hit probability mult i -
plied by N. Values of P{H} are t;abulated in the Appendix.
Variance of th e Number of Hits
The variance of the number of rounds that hit a target
in a burst of N rounds is
N
2Z(K-E )2 P{ K/N}
K=O
which can be written asN
°2=-E2 + K2P{K/N}
KaO
Substituting the expression of Equation 6 fo r P{K/NI,o 2 be-
comes N'
;02 -2 K2 j[NJ H Ixy K[1PH x,y, N-K p(x,y)dxdy
K=0
In terchanging integration and summation
a2 ~~ - ol-p{Hjx,y},,'HIxyH
K= p{Hp,y p(x,y)dxdy
N
Again using the binomial theorem, (l+r) jr
differentiating twice with respect to r and multiplying by
r2 yields
N
Nr(l+Nr)( l+r)N-2
= ZK2fVK 0
K=O
12
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Pý(H X,y}Letting r a - o• becomes
I-P {HjKa,y}
.u~~dd --
Letting P0{Ifl}P(2/2) ,that iathe probability of getting exactly two
hits of two rounds fired,
U2O[ H - P M]+ -1p M) 01) 2
Values of P{H) and P{FH } are tabulated in th e Appendix.
Av-rage Number of Round-,.to Achieve a Hit
In this section an expression is derived for th e aver-
ag e number of rounds which must be fired at a target before
th e first hit in achieved. It is assumed that no at tempt
is made to sense miss distance or "Lo make corrections be-
tween rounds.
When a series of rounds is fired at a target,the prob-
ability that th e first hit occurs on th e Kth round is
ff Hx.,] [1-P(HI~y} p~xov)dxdy
The average number of roundo which must be fired be-
fore achieving a hit is
EEt C "PR~l -PtHi x,V1K-l p(x.y) dxdyr
In terchanging summation and integration an d making use of'
th e relationship
K-1
13
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yields the required expression for the expected number of
rounds to hit the target fo r the first time when
r= [-PHIXY)]
p(x,y)dlxd
24 X , 11 (1 )
The integrals in (15) diverage fo r n)v, that ii, E? is
infinite. For n~v th e integrals converge and tha yalues ' of
E are tabulated and plotted in the Appendix.
Correlation Betweon Bursts
When two burst are fired in succession a t th e same
target, the events are not generally independent. There is
a component of bias error, which is common to both bursts,and another component which is, in general, different foreach burst .
The horizontal and vertical components of the total
bias for th e first burst are
XiMVx + Bxl
YIuVy + By1
For th e wecond burst th e components of 'bias are
X2=V x + Bx2
Y2 = Vy + By2
Since the components BxBx2 s ByI and By2 are mutually inde-
pendent burst-to-burst random variables, it fol lows that
(XI-Vx), (X-Vx) -v) an d Yi V,) are mutally inde-
penden wh the folloing co n itio a l probability density
function f(xl y.i.,x.,,yL2IVx=Vx,Vy=Vv)
1le.(Xl-VX)2 (y1-Vy)2 (x 2 -vx )2 (Y+ ("(
Z1 + +x
72¼w*-'Px;y Lx y j
14
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and the probability density function for the occasion-to-occasion biases is given by
g(vx.vy)u Wxy+(7
The-probability of achieving ezactly Kj hits of M, roundsfired in the first burst and K2 hits of1 rounds firel in
the second burst is
f(x1 ~lx,y, tYy1vy. y )g(vx,vy) dxidyldx~dy2dv~dv ~ (18)
Inertngo h variable. v andov~ he 46bove cx-
[~Ký Kp 19
where
h(xlyl,x29y2)u w4?:' 20l-p~x) 2~ X
2ffn-p2 xl
2 V2
and15'
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That is, th e biases are Jointly normally distr ibutedwith a correlation coeff icient which depends on th e relative
size of th e variance of th e burst- to-burst error and th evariance of th e occasion-to-occasion error. If x-spy W 0
th e bursts are independent.
Equation 19 can be simplified by making use of th e
following relationships:
1. From Equation 20 h(xl,yl,x,,y 2 ) can be written
in the form
h(Xlyl,X 2 ,y2) o hx((X,x 2 ).h(y{ 1 ,y'2 )
2. From Equation 4
P({Hx 1 ,Yl) . PFH x 1)#.P(KyIly.)
P{HJx 2 ,y 2 ) - P(Hx Ix 2 )'P(H IY2)
3. By use of th e binomial theorem
NJ-K 1
i-O
N2 -Kn
[1Px 2 yjUp-K -2
J-O
By substituting th e above expressions into Equation 19,
interchanging summation and integration operations and let-ting nui+Ki and mr'J+Ki, th e probability of achieving exactly
K hits of N rounds ?ired in the first burst and K2 hits
oi N2 rounds fired in th e second burst becomes
N2 NJ
P(K1N1,K2/N2}( (N2)Z, (_)n~m-KlK 2 (Nlj'I) (N2- 2)PnnrI(1
mwK2 n=Kl
a6
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where
P(n/n,m/m}*/ [P(HxIxl']nP(H~xjx2] m hx(xi-x2)dxl,dx2
-m ,5
xJfII~i2[P%,I 2 .) (22)
This procedure reduces the complexity of the cslduls-
tions. However, as noted previouslysthe appearance of th e
binomial coefficients in the expression puts a practicall imit on the size of N1 and N2 .
IT
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APPENDIX
Tabulation of Numerical Calculations of Hit Probabilities
Tables I through XI give the probability of achieving
at least L hits of N rounds fired at a target, fo r vbrious
values of L and N, as a function of the total bias standarddeviationn, and the round-to-round standard deviation
Table XII gives the single shot hit probability, P{H) tor
P{1/1}), and Table XIII gives the probability of achieving twohits of two rounds fired at a target, POWH} (or 0{2/2)). Table
XIV gives the average number of rounds to achieve a hit, ER.In all of the tables n varies from 0 to 20 mils and representsboth the vertical and horizontal components of bias (i.e.,nx- i *n);v varies from 0 to 6 mils, also equal in both dirnvn-siege (vx*vy). These tabulated data have been plotted inFigures 1 through 14. The figures have been numbered tocorrespond with the tables.
All calculations were made fo r a target size o! 7.5' x7.5' at 1000 meters. To use the tables and figurus fo r other
size targets at other ranges the following equations should beused:
T 1000
T 1000
where n~ and Y are tabulated valies and in(RT and Y H,¶) arethe errors at a
range R (in meters) against a target measur-ing T x T (in feet).
As an example, suppose we wish to know the probabilityof achieving at least 1 hit of 2 rounds fired at a 15 ' x 15'target at a range of 1500 meters, given that the 'bias stand-ard'deviation is 0.8 mils and the round-to-round standarddeviation 0.4 mils. Applying the above equations we get:
7. y i0a. x o.8 - o.6
1510
S ... x 1500 . 0.4 0.315 1000
Consulting Table I fo r n a 0.6 and v 00.3 the probability ofat least 1 hit of 2 rounds fired is 0.9187.
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Figure 14. Avera~ge Number of Rounds to Achieve a Hit
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GLOSSARY OF SYMBOLS
The symbols used in this report were chosen to permit
reference to other texts on th e subject and to maintain
consistency throughout th e report itself.
GRE4K LETTERS
I, G~~ E The fixed bias in th e horizontal and vertical
dimensions rbspectively.
2y,y The var iances of the occasion-to-occasionbiases in th e hor.• 'ontal an d vertical d.i-mensions respect ively.
ip •2
The varianceo of the burst-to-burtt bisesx y in th e horizontal an d vertical dimensions
respectively.
n! fl,2 The var iances of th e total bias proseAt 'dur-X y ing a burst in the horizontal &nd vertical
dimiensione respectively.
2 '12The var iances of the round-to-round errors
xv y in th e horizoý:tal an6. vertical dimensions
respect ively.
PROBABILITIlES
PNH First round hit probability.
PP/N}_ The probability of obtaining exact ly K hits
on a target, from a sequence or N rounds fired.
p{HIxys The conditional probability of a hit given
the values x an d y,horizontal an d verti.%al
oomponents of bias respectively.
P{K/Nlx,y) The conditional probability of obtaining ex-actly K hits of N rounds fired given th e
values x an d y, th e horizontal and vertical
components of bias respectivejy.
P{A../N,K 2 /N 2 } The probability of obtaining exact ly K hitsfrom an N, round first burst an d exaci ly K2
hits from an N2 round second burst.
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OTHER TERMS
ER The expected or average number of rounds
which must be fired to obtain a first hit.
EH The expected or average number of hits ob-
tained when firing a burst.
02 The variance of th e number of hits obtained
when firing a burst .
48